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--- |
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tags: |
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- espnet |
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- audio |
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- text-to-speech |
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language: en |
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datasets: |
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- ryanspeech |
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license: cc-by-nc-4.0 |
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widget: |
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- text: "This seems a very pleasant place, and I think I shall enjoy myself very much." |
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--- |
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## RyanSpeech model (based on ESPnet2) |
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### `espnet/english_male_ryanspeech_fastspeech2` |
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This model was trained by [Rohola Zandie](https://scholar.google.com/citations?user=xv0jIe0AAAAJ&hl=en) using ryanspeech recipe in [espnet](https://github.com/espnet/espnet/). For the best results you need to download the vocoder separately from [here](https://drive.google.com/file/d/10GYvB_mIKzXzSjD67tSnBhknZRoBjsNb/view?usp=sharing) and then use the following code: |
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``` |
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from espnet2.bin.tts_inference import Text2Speech |
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from scipy.io.wavfile import write |
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model = Text2Speech.from_pretrained( |
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model_file="espnet/english_male_ryanspeech_fastspeech2", |
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vocoder_file="path_to_vocoder/train_nodev_parallel_wavegan.v1.long/checkpoint-1000000steps.pkl" |
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) |
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output = model("This is a simple test.") |
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write("x.wav", 22050, output['wav'].numpy()) |
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``` |
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## Download the dataset |
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You can download RyanSpeech dataset from [here](https://www.kaggle.com/datasets/roholazandie/ryanspeech) or here. |
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## TTS config |
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<details><summary>expand</summary> |
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``` |
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config: conf/tuning/train_fastspeech.yaml |
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print_config: false |
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log_level: INFO |
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dry_run: false |
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iterator_type: sequence |
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output_dir: exp/tts_train_fastspeech2_raw_phn_tacotron_g2p_en_no_space |
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ngpu: 1 |
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seed: 0 |
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num_workers: 1 |
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num_att_plot: 3 |
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dist_backend: nccl |
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dist_init_method: env:// |
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dist_world_size: null |
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dist_rank: null |
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local_rank: 0 |
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dist_master_addr: null |
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dist_master_port: null |
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dist_launcher: null |
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multiprocessing_distributed: false |
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cudnn_enabled: true |
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cudnn_benchmark: false |
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cudnn_deterministic: true |
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collect_stats: false |
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write_collected_feats: false |
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max_epoch: 1000 |
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patience: null |
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val_scheduler_criterion: |
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- valid |
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- loss |
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early_stopping_criterion: |
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- valid |
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- loss |
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- min |
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best_model_criterion: |
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- - valid |
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- loss |
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- min |
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- - train |
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- loss |
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- min |
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keep_nbest_models: 5 |
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grad_clip: 1.0 |
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grad_clip_type: 2.0 |
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grad_noise: false |
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accum_grad: 6 |
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no_forward_run: false |
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resume: true |
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train_dtype: float32 |
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use_amp: false |
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log_interval: null |
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pretrain_path: [] |
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pretrain_key: [] |
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num_iters_per_epoch: 500 |
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batch_size: 20 |
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valid_batch_size: null |
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batch_bins: 800000 |
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valid_batch_bins: null |
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train_shape_file: |
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- exp/tts_train_raw_phn_tacotron_g2p_en_no_space/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/text_shape.phn |
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- exp/tts_train_raw_phn_tacotron_g2p_en_no_space/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/speech_shape |
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valid_shape_file: |
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- exp/tts_train_raw_phn_tacotron_g2p_en_no_space/decode_use_teacher_forcingtrue_train.loss.ave/stats/valid/text_shape.phn |
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- exp/tts_train_raw_phn_tacotron_g2p_en_no_space/decode_use_teacher_forcingtrue_train.loss.ave/stats/valid/speech_shape |
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batch_type: numel |
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valid_batch_type: null |
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fold_length: |
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- 150 |
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- 204800 |
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sort_in_batch: descending |
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sort_batch: descending |
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multiple_iterator: false |
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chunk_length: 500 |
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chunk_shift_ratio: 0.5 |
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num_cache_chunks: 1024 |
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train_data_path_and_name_and_type: |
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- - dump/raw/tr_no_dev/text |
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- text |
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- text |
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- - exp/tts_train_raw_phn_tacotron_g2p_en_no_space/decode_use_teacher_forcingtrue_train.loss.ave/tr_no_dev/durations |
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- durations |
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- text_int |
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- - dump/raw/tr_no_dev/wav.scp |
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- speech |
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- sound |
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valid_data_path_and_name_and_type: |
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- - dump/raw/dev/text |
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- text |
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- text |
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- - exp/tts_train_raw_phn_tacotron_g2p_en_no_space/decode_use_teacher_forcingtrue_train.loss.ave/dev/durations |
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- durations |
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- text_int |
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- - dump/raw/dev/wav.scp |
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- speech |
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- sound |
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allow_variable_data_keys: false |
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max_cache_size: 0.0 |
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max_cache_fd: 32 |
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valid_max_cache_size: null |
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optim: adam |
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optim_conf: |
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lr: 1.0 |
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scheduler: noamlr |
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scheduler_conf: |
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model_size: 384 |
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warmup_steps: 4000 |
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token_list: |
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- <blank> |
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- <unk> |
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- AH0 |
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- T |
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- N |
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- S |
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- R |
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- D |
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- L |
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- K |
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- IH1 |
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- M |
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- EH1 |
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- Z |
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- DH |
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- UW1 |
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- AE1 |
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- IH0 |
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- AY1 |
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- AH1 |
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- W |
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- . |
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- P |
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- F |
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- IY1 |
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- V |
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- ER0 |
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- AA1 |
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- B |
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- AO1 |
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- HH |
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- EY1 |
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- IY0 |
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- ',' |
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- Y |
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- NG |
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- OW1 |
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- G |
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- AW1 |
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- TH |
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- SH |
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- UH1 |
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- '?' |
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- ER1 |
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- JH |
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- CH |
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- OW0 |
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- OW2 |
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- EH2 |
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- IH2 |
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- EY2 |
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- AA2 |
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- AE2 |
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- AY2 |
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- '''' |
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- OY1 |
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- UW0 |
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- '!' |
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- AO2 |
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- EH0 |
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- ZH |
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- AH2 |
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- AE0 |
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- UW2 |
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- AA0 |
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- AY0 |
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- IY2 |
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- AW2 |
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- AO0 |
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- EY0 |
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- ER2 |
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- UH2 |
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- '...' |
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- AW0 |
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- UH0 |
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- OY2 |
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- <sos/eos> |
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odim: null |
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model_conf: {} |
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use_preprocessor: true |
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token_type: phn |
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bpemodel: null |
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non_linguistic_symbols: null |
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cleaner: tacotron |
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g2p: g2p_en_no_space |
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feats_extract: fbank |
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feats_extract_conf: |
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fs: 22050 |
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fmin: 80 |
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fmax: 7600 |
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n_mels: 80 |
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hop_length: 256 |
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n_fft: 1024 |
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win_length: null |
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normalize: global_mvn |
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normalize_conf: |
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stats_file: exp/tts_train_raw_phn_tacotron_g2p_en_no_space/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/feats_stats.npz |
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tts: fastspeech |
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tts_conf: |
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adim: 384 |
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aheads: 2 |
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elayers: 6 |
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eunits: 1536 |
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dlayers: 6 |
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dunits: 1536 |
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positionwise_layer_type: conv1d |
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positionwise_conv_kernel_size: 3 |
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duration_predictor_layers: 2 |
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duration_predictor_chans: 384 |
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duration_predictor_kernel_size: 3 |
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postnet_layers: 5 |
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postnet_filts: 5 |
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postnet_chans: 256 |
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use_masking: true |
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use_scaled_pos_enc: true |
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encoder_normalize_before: true |
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decoder_normalize_before: true |
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reduction_factor: 1 |
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init_type: xavier_uniform |
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init_enc_alpha: 1.0 |
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init_dec_alpha: 1.0 |
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transformer_enc_dropout_rate: 0.1 |
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transformer_enc_positional_dropout_rate: 0.1 |
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transformer_enc_attn_dropout_rate: 0.1 |
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transformer_dec_dropout_rate: 0.1 |
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transformer_dec_positional_dropout_rate: 0.1 |
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transformer_dec_attn_dropout_rate: 0.1 |
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pitch_extract: null |
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pitch_extract_conf: {} |
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pitch_normalize: null |
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pitch_normalize_conf: {} |
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energy_extract: null |
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energy_extract_conf: {} |
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energy_normalize: null |
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energy_normalize_conf: {} |
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required: |
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- output_dir |
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- token_list |
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distributed: false |
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``` |
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</details> |
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### Citing RyanSpeech |
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```BibTex |
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@inproceedings{Zandie2021RyanSpeechAC, |
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title={RyanSpeech: A Corpus for Conversational Text-to-Speech Synthesis}, |
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author={Rohola Zandie and Mohammad H. Mahoor and Julia Madsen and Eshrat S. Emamian}, |
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booktitle={Interspeech}, |
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year={2021} |
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} |
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``` |
