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- config.json +56 -0
- generation_config.json +173 -0
- model.safetensors +3 -0
- processor_config.json +1311 -0
- speaker_embeddings/announcer_coarse_prompt.npy +3 -0
- speaker_embeddings/announcer_fine_prompt.npy +3 -0
- speaker_embeddings/announcer_semantic_prompt.npy +3 -0
- speaker_embeddings/de_speaker_0_coarse_prompt.npy +3 -0
- speaker_embeddings/de_speaker_0_fine_prompt.npy +3 -0
- speaker_embeddings/de_speaker_0_semantic_prompt.npy +3 -0
- speaker_embeddings/de_speaker_1_coarse_prompt.npy +3 -0
- speaker_embeddings/de_speaker_1_fine_prompt.npy +3 -0
- speaker_embeddings/de_speaker_1_semantic_prompt.npy +3 -0
- speaker_embeddings/de_speaker_2_coarse_prompt.npy +3 -0
- speaker_embeddings/de_speaker_2_fine_prompt.npy +3 -0
- speaker_embeddings/de_speaker_2_semantic_prompt.npy +3 -0
- speaker_embeddings/de_speaker_3_coarse_prompt.npy +3 -0
- speaker_embeddings/de_speaker_3_fine_prompt.npy +3 -0
- speaker_embeddings/de_speaker_3_semantic_prompt.npy +3 -0
- speaker_embeddings/de_speaker_4_coarse_prompt.npy +3 -0
- speaker_embeddings/de_speaker_4_fine_prompt.npy +3 -0
- speaker_embeddings/de_speaker_4_semantic_prompt.npy +3 -0
- speaker_embeddings/de_speaker_5_coarse_prompt.npy +3 -0
- speaker_embeddings/de_speaker_5_fine_prompt.npy +3 -0
- speaker_embeddings/de_speaker_5_semantic_prompt.npy +3 -0
- speaker_embeddings/de_speaker_6_coarse_prompt.npy +3 -0
- speaker_embeddings/de_speaker_6_fine_prompt.npy +3 -0
- speaker_embeddings/de_speaker_6_semantic_prompt.npy +3 -0
- speaker_embeddings/de_speaker_7_coarse_prompt.npy +3 -0
- speaker_embeddings/de_speaker_7_fine_prompt.npy +3 -0
- speaker_embeddings/de_speaker_7_semantic_prompt.npy +3 -0
- speaker_embeddings/de_speaker_8_coarse_prompt.npy +3 -0
- speaker_embeddings/de_speaker_8_fine_prompt.npy +3 -0
- speaker_embeddings/de_speaker_8_semantic_prompt.npy +3 -0
- speaker_embeddings/de_speaker_9_coarse_prompt.npy +3 -0
- speaker_embeddings/de_speaker_9_fine_prompt.npy +3 -0
- speaker_embeddings/de_speaker_9_semantic_prompt.npy +3 -0
- speaker_embeddings/en_speaker_0_coarse_prompt.npy +3 -0
- speaker_embeddings/en_speaker_0_fine_prompt.npy +3 -0
- speaker_embeddings/en_speaker_0_semantic_prompt.npy +3 -0
- speaker_embeddings/en_speaker_1_coarse_prompt.npy +3 -0
- speaker_embeddings/en_speaker_1_fine_prompt.npy +3 -0
- speaker_embeddings/en_speaker_1_semantic_prompt.npy +3 -0
- speaker_embeddings/en_speaker_2_coarse_prompt.npy +3 -0
- speaker_embeddings/en_speaker_2_fine_prompt.npy +3 -0
- speaker_embeddings/en_speaker_2_semantic_prompt.npy +3 -0
- speaker_embeddings/en_speaker_3_coarse_prompt.npy +3 -0
- speaker_embeddings/en_speaker_3_fine_prompt.npy +3 -0
- speaker_embeddings/en_speaker_3_semantic_prompt.npy +3 -0
- speaker_embeddings/en_speaker_4_coarse_prompt.npy +3 -0
config.json
ADDED
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{
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"_name_or_path": "suno/bark",
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"architectures": [
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"BarkModel"
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],
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"coarse_acoustics_config": {
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"architectures": [
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"BarkCoarseModel"
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],
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"bias": false,
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"hidden_size": 1024,
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"input_vocab_size": 12096,
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"model_type": "coarse_acoustics",
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"num_heads": 16,
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"num_layers": 24,
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"output_vocab_size": 12096,
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"torch_dtype": "float32"
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},
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"codec_config": {
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"_name_or_path": "facebook/encodec_24khz",
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"architectures": [
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"EncodecModel"
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],
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"model_type": "encodec",
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"torch_dtype": "float32"
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},
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"fine_acoustics_config": {
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"architectures": [
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"BarkFineModel"
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],
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"bias": false,
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"hidden_size": 1024,
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"input_vocab_size": 1056,
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"model_type": "fine_acoustics",
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"num_heads": 16,
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"num_layers": 24,
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"output_vocab_size": 1056,
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"torch_dtype": "float32"
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},
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"initializer_range": 0.02,
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"model_type": "bark",
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"semantic_config": {
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"architectures": [
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"BarkSemanticModel"
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],
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"bias": false,
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"hidden_size": 1024,
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"input_vocab_size": 129600,
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"model_type": "semantic",
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"num_heads": 16,
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"num_layers": 24,
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"torch_dtype": "float32"
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},
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"torch_dtype": "float32",
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"transformers_version": "4.40.1"
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}
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generation_config.json
ADDED
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{
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"coarse_acoustics_config": {
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+
"_from_model_config": false,
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| 4 |
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"bad_words_ids": null,
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| 5 |
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"begin_suppress_tokens": null,
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| 6 |
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"bos_token_id": null,
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| 7 |
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"coarse_infer_token": 12050,
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| 8 |
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"coarse_rate_hz": 75,
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| 9 |
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"coarse_semantic_pad_token": 12048,
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| 10 |
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"constraints": null,
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| 11 |
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"decoder_start_token_id": null,
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| 12 |
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"diversity_penalty": 0.0,
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| 13 |
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"do_sample": true,
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| 14 |
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"early_stopping": false,
|
| 15 |
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"encoder_no_repeat_ngram_size": 0,
|
| 16 |
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"encoder_repetition_penalty": 1.0,
|
| 17 |
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"eos_token_id": null,
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| 18 |
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"epsilon_cutoff": 0.0,
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| 19 |
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"eta_cutoff": 0.0,
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| 20 |
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"exponential_decay_length_penalty": null,
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"force_words_ids": null,
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| 22 |
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"forced_bos_token_id": null,
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| 23 |
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"forced_decoder_ids": null,
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| 24 |
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"forced_eos_token_id": null,
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| 25 |
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"generation_kwargs": {},
|
| 26 |
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"guidance_scale": null,
|
| 27 |
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"length_penalty": 1.0,
|
| 28 |
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"max_coarse_history": 630,
|
| 29 |
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"max_coarse_input_length": 256,
|
| 30 |
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"max_length": 20,
|
| 31 |
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"max_new_tokens": null,
|
| 32 |
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"max_time": null,
|
| 33 |
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"min_length": 0,
|
| 34 |
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"min_new_tokens": null,
|
| 35 |
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"n_coarse_codebooks": 2,
|
| 36 |
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"no_repeat_ngram_size": 0,
|
| 37 |
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"num_beam_groups": 1,
|
| 38 |
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"num_beams": 1,
|
| 39 |
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"num_return_sequences": 1,
|
| 40 |
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"output_attentions": false,
|
| 41 |
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"output_hidden_states": false,
|
| 42 |
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"output_scores": false,
|
| 43 |
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"pad_token_id": null,
|
| 44 |
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"penalty_alpha": null,
|
| 45 |
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"remove_invalid_values": false,
|
| 46 |
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"renormalize_logits": true,
|
| 47 |
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"repetition_penalty": 1.0,
|
| 48 |
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"return_dict_in_generate": false,
|
| 49 |
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"sequence_bias": null,
|
| 50 |
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"sliding_window_len": 60,
|
| 51 |
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"suppress_tokens": null,
|
| 52 |
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"temperature": 0.7,
|
| 53 |
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"top_k": 50,
|
| 54 |
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"top_p": 1.0,
|
| 55 |
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"transformers_version": "4.31.0.dev0",
|
| 56 |
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"typical_p": 1.0,
|
| 57 |
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"use_cache": true
|
| 58 |
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},
|
| 59 |
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"codebook_size": 1024,
|
| 60 |
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"fine_acoustics_config": {
|
| 61 |
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"_from_model_config": false,
|
| 62 |
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"bad_words_ids": null,
|
| 63 |
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"begin_suppress_tokens": null,
|
| 64 |
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"bos_token_id": null,
|
| 65 |
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"constraints": null,
|
| 66 |
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"decoder_start_token_id": null,
|
| 67 |
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"diversity_penalty": 0.0,
|
| 68 |
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"do_sample": false,
|
| 69 |
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"early_stopping": false,
|
| 70 |
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"encoder_no_repeat_ngram_size": 0,
|
| 71 |
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"encoder_repetition_penalty": 1.0,
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| 72 |
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"eos_token_id": null,
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| 73 |
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"epsilon_cutoff": 0.0,
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| 74 |
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"eta_cutoff": 0.0,
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| 75 |
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"exponential_decay_length_penalty": null,
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| 76 |
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"force_words_ids": null,
|
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"forced_bos_token_id": null,
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| 78 |
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"forced_decoder_ids": null,
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"forced_eos_token_id": null,
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| 80 |
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"generation_kwargs": {},
|
| 81 |
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"guidance_scale": null,
|
| 82 |
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"length_penalty": 1.0,
|
| 83 |
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"max_fine_history_length": 512,
|
| 84 |
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"max_fine_input_length": 1024,
|
| 85 |
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"max_length": 20,
|
| 86 |
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"max_new_tokens": null,
|
| 87 |
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"max_time": null,
|
| 88 |
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"min_length": 0,
|
| 89 |
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"min_new_tokens": null,
|
| 90 |
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"n_fine_codebooks": 8,
|
| 91 |
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"no_repeat_ngram_size": 0,
|
| 92 |
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"num_beam_groups": 1,
|
| 93 |
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"num_beams": 1,
|
| 94 |
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"num_return_sequences": 1,
|
| 95 |
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"output_attentions": false,
|
| 96 |
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"output_hidden_states": false,
|
| 97 |
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"output_scores": false,
|
| 98 |
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"pad_token_id": null,
|
| 99 |
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"penalty_alpha": null,
|
| 100 |
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"remove_invalid_values": false,
|
| 101 |
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"renormalize_logits": false,
|
| 102 |
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"repetition_penalty": 1.0,
|
| 103 |
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"return_dict_in_generate": false,
|
| 104 |
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"sequence_bias": null,
|
| 105 |
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"suppress_tokens": null,
|
| 106 |
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"temperature": 0.5,
|
| 107 |
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"top_k": 50,
|
| 108 |
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"top_p": 1.0,
|
| 109 |
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"transformers_version": "4.31.0.dev0",
|
| 110 |
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"typical_p": 1.0,
|
| 111 |
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"use_cache": true
|
| 112 |
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},
|
| 113 |
+
"model_type": "bark",
|
| 114 |
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"sample_rate": 24000,
|
| 115 |
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"semantic_config": {
|
| 116 |
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"_from_model_config": false,
|
| 117 |
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"bad_words_ids": null,
|
| 118 |
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"begin_suppress_tokens": null,
|
| 119 |
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"bos_token_id": null,
|
| 120 |
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"constraints": null,
|
| 121 |
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"decoder_start_token_id": null,
|
| 122 |
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"diversity_penalty": 0.0,
|
| 123 |
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"do_sample": true,
|
| 124 |
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"early_stopping": false,
|
| 125 |
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"encoder_no_repeat_ngram_size": 0,
|
| 126 |
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"encoder_repetition_penalty": 1.0,
|
| 127 |
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"eos_token_id": 10000,
|
| 128 |
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"epsilon_cutoff": 0.0,
|
| 129 |
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"eta_cutoff": 0.0,
|
| 130 |
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"exponential_decay_length_penalty": null,
|
| 131 |
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"force_words_ids": null,
|
| 132 |
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"forced_bos_token_id": null,
|
| 133 |
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"forced_decoder_ids": null,
|
| 134 |
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"forced_eos_token_id": null,
|
| 135 |
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"generation_kwargs": {},
|
| 136 |
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"guidance_scale": null,
|
| 137 |
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"length_penalty": 1.0,
|
| 138 |
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"max_input_semantic_length": 256,
|
| 139 |
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"max_length": 20,
|
| 140 |
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"max_new_tokens": 768,
|
| 141 |
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"max_time": null,
|
| 142 |
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"min_length": 0,
|
| 143 |
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"min_new_tokens": null,
|
| 144 |
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"no_repeat_ngram_size": 0,
|
| 145 |
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"num_beam_groups": 1,
|
| 146 |
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"num_beams": 1,
|
| 147 |
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"num_return_sequences": 1,
|
| 148 |
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"output_attentions": false,
|
| 149 |
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"output_hidden_states": false,
|
| 150 |
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"output_scores": false,
|
| 151 |
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"pad_token_id": null,
|
| 152 |
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"penalty_alpha": null,
|
| 153 |
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"remove_invalid_values": false,
|
| 154 |
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"renormalize_logits": true,
|
| 155 |
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"repetition_penalty": 1.0,
|
| 156 |
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"return_dict_in_generate": false,
|
| 157 |
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"semantic_infer_token": 129599,
|
| 158 |
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"semantic_pad_token": 10000,
|
| 159 |
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"semantic_rate_hz": 49.9,
|
| 160 |
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"semantic_vocab_size": 10000,
|
| 161 |
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"sequence_bias": null,
|
| 162 |
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"suppress_tokens": null,
|
| 163 |
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"temperature": 0.7,
|
| 164 |
+
"text_encoding_offset": 10048,
|
| 165 |
+
"text_pad_token": 129595,
|
| 166 |
+
"top_k": 50,
|
| 167 |
+
"top_p": 1.0,
|
| 168 |
+
"transformers_version": "4.31.0.dev0",
|
| 169 |
+
"typical_p": 1.0,
|
| 170 |
+
"use_cache": true
|
| 171 |
+
},
|
| 172 |
+
"transformers_version": "4.40.1"
|
| 173 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
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|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6bce452fbe74d65f459af6c6eeac2891f28e89d54363cb36df6f3e2f470994e7
|
| 3 |
+
size 4516753816
|
processor_config.json
ADDED
|
@@ -0,0 +1,1311 @@
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|
| 1 |
+
{
|
| 2 |
+
"processor_class": "BarkProcessor",
|
| 3 |
+
"speaker_embeddings": {
|
| 4 |
+
"announcer": {
|
| 5 |
+
"coarse_prompt": "speaker_embeddings/announcer_coarse_prompt.npy",
|
| 6 |
+
"fine_prompt": "speaker_embeddings/announcer_fine_prompt.npy",
|
| 7 |
+
"semantic_prompt": "speaker_embeddings/announcer_semantic_prompt.npy"
|
| 8 |
+
},
|
| 9 |
+
"de_speaker_0": {
|
| 10 |
+
"coarse_prompt": "speaker_embeddings/de_speaker_0_coarse_prompt.npy",
|
| 11 |
+
"fine_prompt": "speaker_embeddings/de_speaker_0_fine_prompt.npy",
|
| 12 |
+
"semantic_prompt": "speaker_embeddings/de_speaker_0_semantic_prompt.npy"
|
| 13 |
+
},
|
| 14 |
+
"de_speaker_1": {
|
| 15 |
+
"coarse_prompt": "speaker_embeddings/de_speaker_1_coarse_prompt.npy",
|
| 16 |
+
"fine_prompt": "speaker_embeddings/de_speaker_1_fine_prompt.npy",
|
| 17 |
+
"semantic_prompt": "speaker_embeddings/de_speaker_1_semantic_prompt.npy"
|
| 18 |
+
},
|
| 19 |
+
"de_speaker_2": {
|
| 20 |
+
"coarse_prompt": "speaker_embeddings/de_speaker_2_coarse_prompt.npy",
|
| 21 |
+
"fine_prompt": "speaker_embeddings/de_speaker_2_fine_prompt.npy",
|
| 22 |
+
"semantic_prompt": "speaker_embeddings/de_speaker_2_semantic_prompt.npy"
|
| 23 |
+
},
|
| 24 |
+
"de_speaker_3": {
|
| 25 |
+
"coarse_prompt": "speaker_embeddings/de_speaker_3_coarse_prompt.npy",
|
| 26 |
+
"fine_prompt": "speaker_embeddings/de_speaker_3_fine_prompt.npy",
|
| 27 |
+
"semantic_prompt": "speaker_embeddings/de_speaker_3_semantic_prompt.npy"
|
| 28 |
+
},
|
| 29 |
+
"de_speaker_4": {
|
| 30 |
+
"coarse_prompt": "speaker_embeddings/de_speaker_4_coarse_prompt.npy",
|
| 31 |
+
"fine_prompt": "speaker_embeddings/de_speaker_4_fine_prompt.npy",
|
| 32 |
+
"semantic_prompt": "speaker_embeddings/de_speaker_4_semantic_prompt.npy"
|
| 33 |
+
},
|
| 34 |
+
"de_speaker_5": {
|
| 35 |
+
"coarse_prompt": "speaker_embeddings/de_speaker_5_coarse_prompt.npy",
|
| 36 |
+
"fine_prompt": "speaker_embeddings/de_speaker_5_fine_prompt.npy",
|
| 37 |
+
"semantic_prompt": "speaker_embeddings/de_speaker_5_semantic_prompt.npy"
|
| 38 |
+
},
|
| 39 |
+
"de_speaker_6": {
|
| 40 |
+
"coarse_prompt": "speaker_embeddings/de_speaker_6_coarse_prompt.npy",
|
| 41 |
+
"fine_prompt": "speaker_embeddings/de_speaker_6_fine_prompt.npy",
|
| 42 |
+
"semantic_prompt": "speaker_embeddings/de_speaker_6_semantic_prompt.npy"
|
| 43 |
+
},
|
| 44 |
+
"de_speaker_7": {
|
| 45 |
+
"coarse_prompt": "speaker_embeddings/de_speaker_7_coarse_prompt.npy",
|
| 46 |
+
"fine_prompt": "speaker_embeddings/de_speaker_7_fine_prompt.npy",
|
| 47 |
+
"semantic_prompt": "speaker_embeddings/de_speaker_7_semantic_prompt.npy"
|
| 48 |
+
},
|
| 49 |
+
"de_speaker_8": {
|
| 50 |
+
"coarse_prompt": "speaker_embeddings/de_speaker_8_coarse_prompt.npy",
|
| 51 |
+
"fine_prompt": "speaker_embeddings/de_speaker_8_fine_prompt.npy",
|
| 52 |
+
"semantic_prompt": "speaker_embeddings/de_speaker_8_semantic_prompt.npy"
|
| 53 |
+
},
|
| 54 |
+
"de_speaker_9": {
|
| 55 |
+
"coarse_prompt": "speaker_embeddings/de_speaker_9_coarse_prompt.npy",
|
| 56 |
+
"fine_prompt": "speaker_embeddings/de_speaker_9_fine_prompt.npy",
|
| 57 |
+
"semantic_prompt": "speaker_embeddings/de_speaker_9_semantic_prompt.npy"
|
| 58 |
+
},
|
| 59 |
+
"en_speaker_0": {
|
| 60 |
+
"coarse_prompt": "speaker_embeddings/en_speaker_0_coarse_prompt.npy",
|
| 61 |
+
"fine_prompt": "speaker_embeddings/en_speaker_0_fine_prompt.npy",
|
| 62 |
+
"semantic_prompt": "speaker_embeddings/en_speaker_0_semantic_prompt.npy"
|
| 63 |
+
},
|
| 64 |
+
"en_speaker_1": {
|
| 65 |
+
"coarse_prompt": "speaker_embeddings/en_speaker_1_coarse_prompt.npy",
|
| 66 |
+
"fine_prompt": "speaker_embeddings/en_speaker_1_fine_prompt.npy",
|
| 67 |
+
"semantic_prompt": "speaker_embeddings/en_speaker_1_semantic_prompt.npy"
|
| 68 |
+
},
|
| 69 |
+
"en_speaker_2": {
|
| 70 |
+
"coarse_prompt": "speaker_embeddings/en_speaker_2_coarse_prompt.npy",
|
| 71 |
+
"fine_prompt": "speaker_embeddings/en_speaker_2_fine_prompt.npy",
|
| 72 |
+
"semantic_prompt": "speaker_embeddings/en_speaker_2_semantic_prompt.npy"
|
| 73 |
+
},
|
| 74 |
+
"en_speaker_3": {
|
| 75 |
+
"coarse_prompt": "speaker_embeddings/en_speaker_3_coarse_prompt.npy",
|
| 76 |
+
"fine_prompt": "speaker_embeddings/en_speaker_3_fine_prompt.npy",
|
| 77 |
+
"semantic_prompt": "speaker_embeddings/en_speaker_3_semantic_prompt.npy"
|
| 78 |
+
},
|
| 79 |
+
"en_speaker_4": {
|
| 80 |
+
"coarse_prompt": "speaker_embeddings/en_speaker_4_coarse_prompt.npy",
|
| 81 |
+
"fine_prompt": "speaker_embeddings/en_speaker_4_fine_prompt.npy",
|
| 82 |
+
"semantic_prompt": "speaker_embeddings/en_speaker_4_semantic_prompt.npy"
|
| 83 |
+
},
|
| 84 |
+
"en_speaker_5": {
|
| 85 |
+
"coarse_prompt": "speaker_embeddings/en_speaker_5_coarse_prompt.npy",
|
| 86 |
+
"fine_prompt": "speaker_embeddings/en_speaker_5_fine_prompt.npy",
|
| 87 |
+
"semantic_prompt": "speaker_embeddings/en_speaker_5_semantic_prompt.npy"
|
| 88 |
+
},
|
| 89 |
+
"en_speaker_6": {
|
| 90 |
+
"coarse_prompt": "speaker_embeddings/en_speaker_6_coarse_prompt.npy",
|
| 91 |
+
"fine_prompt": "speaker_embeddings/en_speaker_6_fine_prompt.npy",
|
| 92 |
+
"semantic_prompt": "speaker_embeddings/en_speaker_6_semantic_prompt.npy"
|
| 93 |
+
},
|
| 94 |
+
"en_speaker_7": {
|
| 95 |
+
"coarse_prompt": "speaker_embeddings/en_speaker_7_coarse_prompt.npy",
|
| 96 |
+
"fine_prompt": "speaker_embeddings/en_speaker_7_fine_prompt.npy",
|
| 97 |
+
"semantic_prompt": "speaker_embeddings/en_speaker_7_semantic_prompt.npy"
|
| 98 |
+
},
|
| 99 |
+
"en_speaker_8": {
|
| 100 |
+
"coarse_prompt": "speaker_embeddings/en_speaker_8_coarse_prompt.npy",
|
| 101 |
+
"fine_prompt": "speaker_embeddings/en_speaker_8_fine_prompt.npy",
|
| 102 |
+
"semantic_prompt": "speaker_embeddings/en_speaker_8_semantic_prompt.npy"
|
| 103 |
+
},
|
| 104 |
+
"en_speaker_9": {
|
| 105 |
+
"coarse_prompt": "speaker_embeddings/en_speaker_9_coarse_prompt.npy",
|
| 106 |
+
"fine_prompt": "speaker_embeddings/en_speaker_9_fine_prompt.npy",
|
| 107 |
+
"semantic_prompt": "speaker_embeddings/en_speaker_9_semantic_prompt.npy"
|
| 108 |
+
},
|
| 109 |
+
"es_speaker_0": {
|
| 110 |
+
"coarse_prompt": "speaker_embeddings/es_speaker_0_coarse_prompt.npy",
|
| 111 |
+
"fine_prompt": "speaker_embeddings/es_speaker_0_fine_prompt.npy",
|
| 112 |
+
"semantic_prompt": "speaker_embeddings/es_speaker_0_semantic_prompt.npy"
|
| 113 |
+
},
|
| 114 |
+
"es_speaker_1": {
|
| 115 |
+
"coarse_prompt": "speaker_embeddings/es_speaker_1_coarse_prompt.npy",
|
| 116 |
+
"fine_prompt": "speaker_embeddings/es_speaker_1_fine_prompt.npy",
|
| 117 |
+
"semantic_prompt": "speaker_embeddings/es_speaker_1_semantic_prompt.npy"
|
| 118 |
+
},
|
| 119 |
+
"es_speaker_2": {
|
| 120 |
+
"coarse_prompt": "speaker_embeddings/es_speaker_2_coarse_prompt.npy",
|
| 121 |
+
"fine_prompt": "speaker_embeddings/es_speaker_2_fine_prompt.npy",
|
| 122 |
+
"semantic_prompt": "speaker_embeddings/es_speaker_2_semantic_prompt.npy"
|
| 123 |
+
},
|
| 124 |
+
"es_speaker_3": {
|
| 125 |
+
"coarse_prompt": "speaker_embeddings/es_speaker_3_coarse_prompt.npy",
|
| 126 |
+
"fine_prompt": "speaker_embeddings/es_speaker_3_fine_prompt.npy",
|
| 127 |
+
"semantic_prompt": "speaker_embeddings/es_speaker_3_semantic_prompt.npy"
|
| 128 |
+
},
|
| 129 |
+
"es_speaker_4": {
|
| 130 |
+
"coarse_prompt": "speaker_embeddings/es_speaker_4_coarse_prompt.npy",
|
| 131 |
+
"fine_prompt": "speaker_embeddings/es_speaker_4_fine_prompt.npy",
|
| 132 |
+
"semantic_prompt": "speaker_embeddings/es_speaker_4_semantic_prompt.npy"
|
| 133 |
+
},
|
| 134 |
+
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
| 171 |
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|
| 172 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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|
| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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|
| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
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|
| 227 |
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|
| 228 |
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|
| 229 |
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|
| 230 |
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|
| 231 |
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|
| 232 |
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|
| 233 |
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|
| 234 |
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|
| 235 |
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|
| 236 |
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|
| 237 |
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|
| 238 |
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|
| 239 |
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|
| 240 |
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|
| 241 |
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|
| 242 |
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|
| 243 |
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|
| 244 |
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|
| 245 |
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|
| 246 |
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|
| 247 |
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|
| 248 |
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|
| 249 |
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|
| 250 |
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|
| 251 |
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|
| 252 |
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|
| 253 |
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|
| 254 |
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|
| 255 |
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|
| 256 |
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|
| 257 |
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|
| 258 |
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|
| 259 |
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|
| 260 |
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|
| 261 |
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|
| 262 |
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|
| 263 |
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| 264 |
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|
| 265 |
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|
| 266 |
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|
| 267 |
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|
| 268 |
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|
| 269 |
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|
| 270 |
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|
| 271 |
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|
| 272 |
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|
| 273 |
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|
| 274 |
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|
| 275 |
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|
| 276 |
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|
| 277 |
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|
| 278 |
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|
| 279 |
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|
| 280 |
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|
| 281 |
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|
| 282 |
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|
| 283 |
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|
| 284 |
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|
| 285 |
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|
| 286 |
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|
| 287 |
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|
| 288 |
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|
| 289 |
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|
| 290 |
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|
| 291 |
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|
| 292 |
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|
| 293 |
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|
| 294 |
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|
| 295 |
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|
| 296 |
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|
| 297 |
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|
| 298 |
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|
| 299 |
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|
| 300 |
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|
| 301 |
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|
| 302 |
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|
| 303 |
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|
| 304 |
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|
| 305 |
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|
| 306 |
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|
| 307 |
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|
| 308 |
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|
| 309 |
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|
| 310 |
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|
| 311 |
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|
| 312 |
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|
| 313 |
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|
| 314 |
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|
| 315 |
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|
| 316 |
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|
| 317 |
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|
| 318 |
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|
| 319 |
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|
| 320 |
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|
| 321 |
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|
| 322 |
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|
| 323 |
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|
| 324 |
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|
| 325 |
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|
| 326 |
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|
| 327 |
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|
| 328 |
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|
| 329 |
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|
| 330 |
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|
| 331 |
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|
| 332 |
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|
| 333 |
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|
| 334 |
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|
| 335 |
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|
| 336 |
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|
| 337 |
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|
| 338 |
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|
| 339 |
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|
| 340 |
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|
| 341 |
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|
| 342 |
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|
| 343 |
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|
| 344 |
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|
| 345 |
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|
| 346 |
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|
| 347 |
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|
| 348 |
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|
| 349 |
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|
| 350 |
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|
| 351 |
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|
| 352 |
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|
| 353 |
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|
| 354 |
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|
| 355 |
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|
| 356 |
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|
| 357 |
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|
| 358 |
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|
| 359 |
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|
| 360 |
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|
| 361 |
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|
| 362 |
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|
| 363 |
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|
| 364 |
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|
| 365 |
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|
| 366 |
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|
| 367 |
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|
| 368 |
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|
| 369 |
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|
| 370 |
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|
| 371 |
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|
| 372 |
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|
| 373 |
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|
| 374 |
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|
| 375 |
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|
| 376 |
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|
| 377 |
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|
| 378 |
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|
| 379 |
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|
| 380 |
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|
| 381 |
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|
| 382 |
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|
| 383 |
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|
| 384 |
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|
| 385 |
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|
| 386 |
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|
| 387 |
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|
| 388 |
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|
| 389 |
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|
| 390 |
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|
| 391 |
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|
| 392 |
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|
| 393 |
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|
| 394 |
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| 395 |
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|
| 396 |
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|
| 397 |
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|
| 398 |
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|
| 399 |
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|
| 400 |
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|
| 401 |
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|
| 402 |
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|
| 403 |
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|
| 404 |
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|
| 405 |
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|
| 406 |
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|
| 407 |
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|
| 408 |
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|
| 409 |
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|
| 410 |
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|
| 411 |
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|
| 412 |
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|
| 413 |
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|
| 414 |
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|
| 415 |
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|
| 416 |
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|
| 417 |
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|
| 418 |
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|
| 419 |
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|
| 420 |
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|
| 421 |
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|
| 422 |
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|
| 423 |
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|
| 424 |
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|
| 425 |
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|
| 426 |
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|
| 427 |
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|
| 428 |
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|
| 429 |
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|
| 430 |
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|
| 431 |
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|
| 432 |
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|
| 433 |
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|
| 434 |
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|
| 435 |
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|
| 436 |
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|
| 437 |
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|
| 438 |
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|
| 439 |
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|
| 440 |
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|
| 441 |
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|
| 442 |
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|
| 443 |
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|
| 444 |
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|
| 445 |
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|
| 446 |
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|
| 447 |
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|
| 448 |
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|
| 449 |
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|
| 450 |
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|
| 451 |
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|
| 452 |
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|
| 453 |
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|
| 454 |
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|
| 455 |
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|
| 456 |
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|
| 457 |
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|
| 458 |
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|
| 459 |
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|
| 460 |
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|
| 461 |
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|
| 462 |
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|
| 463 |
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|
| 464 |
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|
| 465 |
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|
| 466 |
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|
| 467 |
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|
| 468 |
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|
| 469 |
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|
| 470 |
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|
| 471 |
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|
| 472 |
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|
| 473 |
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|
| 474 |
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|
| 475 |
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|
| 476 |
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|
| 477 |
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|
| 478 |
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|
| 479 |
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|
| 480 |
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|
| 481 |
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|
| 482 |
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|
| 483 |
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|
| 484 |
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|
| 485 |
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|
| 486 |
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|
| 487 |
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|
| 488 |
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|
| 489 |
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|
| 490 |
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|
| 491 |
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|
| 492 |
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|
| 493 |
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|
| 494 |
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|
| 495 |
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|
| 496 |
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|
| 497 |
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|
| 498 |
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|
| 499 |
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|
| 500 |
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|
| 501 |
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|
| 502 |
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|
| 503 |
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|
| 504 |
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|
| 505 |
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|
| 506 |
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|
| 507 |
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|
| 508 |
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},
|
| 509 |
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|
| 510 |
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|
| 511 |
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|
| 512 |
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|
| 513 |
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|
| 514 |
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|
| 515 |
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|
| 516 |
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|
| 517 |
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|
| 518 |
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|
| 519 |
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|
| 520 |
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|
| 521 |
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|
| 522 |
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|
| 523 |
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|
| 524 |
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|
| 525 |
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|
| 526 |
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|
| 527 |
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|
| 528 |
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|
| 529 |
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|
| 530 |
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|
| 531 |
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|
| 532 |
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|
| 533 |
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|
| 534 |
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|
| 535 |
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|
| 536 |
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|
| 537 |
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|
| 538 |
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|
| 539 |
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|
| 540 |
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|
| 541 |
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|
| 542 |
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|
| 543 |
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|
| 544 |
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|
| 545 |
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|
| 546 |
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|
| 547 |
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|
| 548 |
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|
| 549 |
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|
| 550 |
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|
| 551 |
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|
| 552 |
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|
| 553 |
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|
| 554 |
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|
| 555 |
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|
| 556 |
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|
| 557 |
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|
| 558 |
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|
| 559 |
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|
| 560 |
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|
| 561 |
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|
| 562 |
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|
| 563 |
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|
| 564 |
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|
| 565 |
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|
| 566 |
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|
| 567 |
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|
| 568 |
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|
| 569 |
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|
| 570 |
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|
| 571 |
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|
| 572 |
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|
| 573 |
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|
| 574 |
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|
| 575 |
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|
| 576 |
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|
| 577 |
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|
| 578 |
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|
| 579 |
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|
| 580 |
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|
| 581 |
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|
| 582 |
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|
| 583 |
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|
| 584 |
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|
| 585 |
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|
| 586 |
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|
| 587 |
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|
| 588 |
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|
| 589 |
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|
| 590 |
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|
| 591 |
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|
| 592 |
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|
| 593 |
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|
| 594 |
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},
|
| 595 |
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|
| 596 |
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|
| 597 |
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|
| 598 |
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|
| 599 |
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},
|
| 600 |
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|
| 601 |
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|
| 602 |
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|
| 603 |
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|
| 604 |
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},
|
| 605 |
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|
| 606 |
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|
| 607 |
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|
| 608 |
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"semantic_prompt": "speaker_embeddings/tr_speaker_9_semantic_prompt.npy"
|
| 609 |
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},
|
| 610 |
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|
| 611 |
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|
| 612 |
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|
| 613 |
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|
| 614 |
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},
|
| 615 |
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|
| 616 |
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|
| 617 |
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|
| 618 |
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|
| 619 |
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},
|
| 620 |
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|
| 621 |
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|
| 622 |
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|
| 623 |
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|
| 624 |
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},
|
| 625 |
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|
| 626 |
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|
| 627 |
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|
| 628 |
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|
| 629 |
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},
|
| 630 |
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|
| 631 |
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|
| 632 |
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|
| 633 |
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|
| 634 |
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},
|
| 635 |
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|
| 636 |
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|
| 637 |
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|
| 638 |
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"semantic_prompt": "speaker_embeddings/v2/de_speaker_5_semantic_prompt.npy"
|
| 639 |
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},
|
| 640 |
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|
| 641 |
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|
| 642 |
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|
| 643 |
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"semantic_prompt": "speaker_embeddings/v2/de_speaker_6_semantic_prompt.npy"
|
| 644 |
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},
|
| 645 |
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|
| 646 |
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|
| 647 |
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|
| 648 |
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"semantic_prompt": "speaker_embeddings/v2/de_speaker_7_semantic_prompt.npy"
|
| 649 |
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},
|
| 650 |
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| 659 |
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| 799 |
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| 809 |
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| 814 |
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| 829 |
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| 834 |
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| 839 |
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| 841 |
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|
| 844 |
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|
| 849 |
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|
| 854 |
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|
| 859 |
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|
| 864 |
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|
| 869 |
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| 873 |
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|
| 874 |
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| 876 |
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| 877 |
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| 878 |
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|
| 879 |
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| 880 |
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| 881 |
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| 883 |
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|
| 884 |
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| 1114 |
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| 1119 |
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|
| 1234 |
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|
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|
| 1249 |
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|
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|
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|
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|
| 1264 |
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|
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|
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|
| 1269 |
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|
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|
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|
| 1274 |
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|
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|
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|
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|
| 1279 |
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|
| 1280 |
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|
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|
| 1282 |
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|
| 1283 |
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|
| 1284 |
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|
| 1285 |
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|
| 1286 |
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|
| 1287 |
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|
| 1288 |
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|
| 1289 |
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},
|
| 1290 |
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|
| 1291 |
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|
| 1292 |
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|
| 1293 |
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|
| 1294 |
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},
|
| 1295 |
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|
| 1296 |
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|
| 1297 |
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|
| 1298 |
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"semantic_prompt": "speaker_embeddings/zh_speaker_7_semantic_prompt.npy"
|
| 1299 |
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},
|
| 1300 |
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"zh_speaker_8": {
|
| 1301 |
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|
| 1302 |
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|
| 1303 |
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"semantic_prompt": "speaker_embeddings/zh_speaker_8_semantic_prompt.npy"
|
| 1304 |
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},
|
| 1305 |
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"zh_speaker_9": {
|
| 1306 |
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|
| 1307 |
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|
| 1308 |
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"semantic_prompt": "speaker_embeddings/zh_speaker_9_semantic_prompt.npy"
|
| 1309 |
+
}
|
| 1310 |
+
}
|
| 1311 |
+
}
|
speaker_embeddings/announcer_coarse_prompt.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:2c77d5e1f9ab39e489d27628ab26dfae7a8b4cae4ba72658a1a94927f7ff5132
|
| 3 |
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size 3128
|
speaker_embeddings/announcer_fine_prompt.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:7aac73cd2a14c1939a718aeb48b064d149b39f773f1dcc9b93be6f79ebd33755
|
| 3 |
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size 12128
|
speaker_embeddings/announcer_semantic_prompt.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:f5564642cbd84db6f4d1d8a522bd26329b4f4cd8cd81e1965b90baf1ee80c7ff
|
| 3 |
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size 1126
|
speaker_embeddings/de_speaker_0_coarse_prompt.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:3eb78af32779b5fabbb92e7cdbdeaaa34f5f8ad1085e213b101165665c5ce4cb
|
| 3 |
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size 9472
|
speaker_embeddings/de_speaker_0_fine_prompt.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:a2421bcbeb7fadfcf1c0b33e38e316474d4a95139d4dd0b3d861e72c8fd77c36
|
| 3 |
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size 18816
|
speaker_embeddings/de_speaker_0_semantic_prompt.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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|
| 3 |
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size 3240
|
speaker_embeddings/de_speaker_1_coarse_prompt.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:6ac93157e39cd0fa7a5e9d0404d6adcb3daaec8e820b42b72b96de62e19ca89b
|
| 3 |
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size 9472
|
speaker_embeddings/de_speaker_1_fine_prompt.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:9f8eaca4b732dd3264213ac387f4c91f83a574563b0d72368b237df03fe92b4d
|
| 3 |
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size 18816
|
speaker_embeddings/de_speaker_1_semantic_prompt.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:98cde60e36a6265d6534e4c6422436f201a9bfcdc87f9817d6faf6ab4f22554b
|
| 3 |
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size 3240
|
speaker_embeddings/de_speaker_2_coarse_prompt.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
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