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