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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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- talromur |
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license: cc-by-4.0 |
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--- |
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## ESPnet2 TTS model |
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### `espnet/GunnarThor_talromur_a_fastspeech2` |
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This model was trained by Gunnar Thor using talromur recipe in [espnet](https://github.com/espnet/espnet/). |
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### Demo: How to use in ESPnet2 |
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```bash |
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cd espnet |
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git checkout 49a284e69308d81c142b89795de255b4ce290c54 |
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pip install -e . |
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cd egs2/talromur/tts1 |
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./run.sh --skip_data_prep false --skip_train true --download_model espnet/GunnarThor_talromur_a_fastspeech2 |
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``` |
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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_fastspeech2.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/a/tts_train_fastspeech2_raw_phn_none |
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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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unused_parameters: false |
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sharded_ddp: 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: 100 |
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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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nbest_averaging_interval: 0 |
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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: 8 |
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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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use_matplotlib: true |
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use_tensorboard: true |
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use_wandb: false |
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wandb_project: null |
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wandb_id: null |
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wandb_entity: null |
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wandb_name: null |
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wandb_model_log_interval: -1 |
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detect_anomaly: false |
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pretrain_path: null |
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init_param: [] |
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ignore_init_mismatch: false |
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freeze_param: [] |
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num_iters_per_epoch: 800 |
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batch_size: 20 |
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valid_batch_size: null |
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batch_bins: 2500000 |
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valid_batch_bins: null |
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train_shape_file: |
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- exp/a/tts_train_tacotron2_raw_phn_none/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/text_shape.phn |
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- exp/a/tts_train_tacotron2_raw_phn_none/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/speech_shape |
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valid_shape_file: |
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- exp/a/tts_train_tacotron2_raw_phn_none/decode_use_teacher_forcingtrue_train.loss.ave/stats/valid/text_shape.phn |
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- exp/a/tts_train_tacotron2_raw_phn_none/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/train_a_phn/text |
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- text |
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- text |
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- - exp/a/tts_train_tacotron2_raw_phn_none/decode_use_teacher_forcingtrue_train.loss.ave/train_a_phn/durations |
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- durations |
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- text_int |
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- - dump/raw/train_a_phn/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_a_phn/text |
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- text |
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- text |
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- - exp/a/tts_train_tacotron2_raw_phn_none/decode_use_teacher_forcingtrue_train.loss.ave/dev_a_phn/durations |
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- durations |
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- text_int |
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- - dump/raw/dev_a_phn/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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- ',' |
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- . |
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- r |
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- t |
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- n |
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- a0 |
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- s |
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- I0 |
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- D |
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- l |
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- m |
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- Y0 |
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- v |
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- h |
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- E1 |
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- k |
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- a:1 |
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- E:1 |
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- G |
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- f |
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- j |
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- T |
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- a1 |
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- p |
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- c |
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- au:1 |
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- i:1 |
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- O:1 |
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- I:1 |
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- E0 |
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- I1 |
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- r_0 |
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- t_h |
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- k_h |
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- Y1 |
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- ei1 |
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- i0 |
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- ou:1 |
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- ei:1 |
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- u:1 |
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- O1 |
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- N |
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- l_0 |
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- '91' |
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- ai0 |
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- au1 |
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- ou0 |
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- n_0 |
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- ei0 |
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- ai:1 |
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- O0 |
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- ou1 |
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- ai1 |
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- i1 |
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- '9:1' |
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- '90' |
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- au0 |
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- x |
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- c_h |
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- 9i:1 |
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- C |
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- p_h |
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- u0 |
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- Y:1 |
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- J |
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- 9i1 |
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- u1 |
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- 9i0 |
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- N_0 |
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- m_0 |
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- J_0 |
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- Yi0 |
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- Oi1 |
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- Yi1 |
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- Oi0 |
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- au:0 |
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- '9:0' |
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- E:0 |
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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: null |
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g2p: null |
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feats_extract: fbank |
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feats_extract_conf: |
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n_fft: 1024 |
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hop_length: 256 |
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win_length: null |
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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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normalize: global_mvn |
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normalize_conf: |
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stats_file: exp/a/tts_train_tacotron2_raw_phn_none/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/feats_stats.npz |
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tts: fastspeech2 |
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tts_conf: |
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adim: 384 |
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aheads: 2 |
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elayers: 4 |
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eunits: 1536 |
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dlayers: 4 |
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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: 256 |
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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: 0.2 |
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transformer_enc_positional_dropout_rate: 0.2 |
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transformer_enc_attn_dropout_rate: 0.2 |
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transformer_dec_dropout_rate: 0.2 |
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transformer_dec_positional_dropout_rate: 0.2 |
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transformer_dec_attn_dropout_rate: 0.2 |
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pitch_predictor_layers: 5 |
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pitch_predictor_chans: 256 |
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pitch_predictor_kernel_size: 5 |
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pitch_predictor_dropout: 0.5 |
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pitch_embed_kernel_size: 1 |
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pitch_embed_dropout: 0.0 |
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stop_gradient_from_pitch_predictor: true |
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energy_predictor_layers: 2 |
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energy_predictor_chans: 256 |
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energy_predictor_kernel_size: 3 |
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energy_predictor_dropout: 0.5 |
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energy_embed_kernel_size: 1 |
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energy_embed_dropout: 0.0 |
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stop_gradient_from_energy_predictor: false |
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pitch_extract: dio |
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pitch_extract_conf: |
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fs: 22050 |
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n_fft: 1024 |
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hop_length: 256 |
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f0max: 400 |
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f0min: 80 |
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reduction_factor: 1 |
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pitch_normalize: global_mvn |
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pitch_normalize_conf: |
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stats_file: exp/a/tts_train_tacotron2_raw_phn_none/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/pitch_stats.npz |
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energy_extract: energy |
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energy_extract_conf: |
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fs: 22050 |
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n_fft: 1024 |
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hop_length: 256 |
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win_length: null |
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reduction_factor: 1 |
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energy_normalize: global_mvn |
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energy_normalize_conf: |
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stats_file: exp/a/tts_train_tacotron2_raw_phn_none/decode_use_teacher_forcingtrue_train.loss.ave/stats/train/energy_stats.npz |
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required: |
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- output_dir |
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- token_list |
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version: 0.10.7a1 |
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distributed: false |
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``` |
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</details> |
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### Citing ESPnet |
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```BibTex |
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@inproceedings{watanabe2018espnet, |
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author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai}, |
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title={{ESPnet}: End-to-End Speech Processing Toolkit}, |
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year={2018}, |
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booktitle={Proceedings of Interspeech}, |
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pages={2207--2211}, |
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doi={10.21437/Interspeech.2018-1456}, |
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url={http://dx.doi.org/10.21437/Interspeech.2018-1456} |
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} |
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@inproceedings{hayashi2020espnet, |
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title={{Espnet-TTS}: Unified, reproducible, and integratable open source end-to-end text-to-speech toolkit}, |
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author={Hayashi, Tomoki and Yamamoto, Ryuichi and Inoue, Katsuki and Yoshimura, Takenori and Watanabe, Shinji and Toda, Tomoki and Takeda, Kazuya and Zhang, Yu and Tan, Xu}, |
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booktitle={Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, |
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pages={7654--7658}, |
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year={2020}, |
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organization={IEEE} |
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} |
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``` |
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or arXiv: |
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```bibtex |
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@misc{watanabe2018espnet, |
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title={ESPnet: End-to-End Speech Processing Toolkit}, |
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author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai}, |
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year={2018}, |
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eprint={1804.00015}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |
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