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config: conf/tuning/train_conformer_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/tts_train_conformer_fastspeech2_raw_phn_pypinyin_g2p_phone |
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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: 10 |
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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: 2400000 |
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valid_batch_bins: null |
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train_shape_file: |
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- exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/train/text_shape.phn |
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- exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/train/speech_shape |
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valid_shape_file: |
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- exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/valid/text_shape.phn |
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- exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/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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- 240000 |
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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_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/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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- - exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/train/collect_feats/pitch.scp |
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- pitch |
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- npy |
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- - exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/train/collect_feats/energy.scp |
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- energy |
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- npy |
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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_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/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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- - exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/valid/collect_feats/pitch.scp |
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- pitch |
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- npy |
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- - exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/valid/collect_feats/energy.scp |
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- energy |
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- npy |
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allow_variable_data_keys: false |
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max_cache_size: 0.0 |
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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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- "\uFF30" |
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- "\uFF22" |
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- "\xFC" |
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- an |
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- ueng3 |
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- '2' |
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- uen |
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- ei |
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- ua |
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- ao |
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- u |
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- ueng4 |
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- uo |
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- ang |
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- ou |
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- v2 |
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- ueng1 |
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- o |
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- io1 |
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- "\xFCn3" |
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- er |
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- ve4 |
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- o3 |
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- uai2 |
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- uen3 |
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- uen1 |
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- uai3 |
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- "\xFCe3" |
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- iou1 |
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- iong2 |
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- ia2 |
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- uai1 |
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- iong1 |
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- "\xFCan1" |
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- "\xFCe1" |
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- v4 |
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- ua3 |
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- ia |
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- iong3 |
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- uei3 |
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- ua2 |
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- ia3 |
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- uei1 |
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- o1 |
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- o4 |
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- "\xFCn2" |
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- un2 |
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- er3 |
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- "\xFCn1" |
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- uen4 |
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- un3 |
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- iu1 |
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- "\xFCn4" |
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- uen2 |
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- "\xFCan3" |
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- un4 |
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- "\xFCan4" |
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- iu3 |
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- ua1 |
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- uei2 |
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- "\uFF01" |
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- iou4 |
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- iou2 |
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- er4 |
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- o2 |
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- ei1 |
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- iao2 |
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- uang4 |
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- "\xFC1" |
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- ui2 |
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- v3 |
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- uang2 |
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- iong4 |
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- un1 |
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- ui1 |
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- ua4 |
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- ao2 |
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- en |
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- a |
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- iu2 |
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- uang1 |
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- uang3 |
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- "\xFCe2" |
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- in3 |
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- "\uFF1F" |
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- uai4 |
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- "\xFCe4" |
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- uan2 |
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- ou2 |
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- eng3 |
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- ui3 |
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- uan4 |
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- a2 |
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- ie2 |
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- ong3 |
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- iang2 |
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- ie1 |
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- in4 |
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- iao1 |
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- e1 |
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- in2 |
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- en4 |
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- uan3 |
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- "\xFC2" |
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- ing3 |
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- i |
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- ei2 |
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- ei3 |
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- iang1 |
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- er2 |
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- ia4 |
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- uo2 |
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- "\xFC3" |
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- uan1 |
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- ia1 |
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- e3 |
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- ong4 |
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- ie4 |
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- ai1 |
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- en3 |
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- iang3 |
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- eng4 |
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- iang4 |
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- ao1 |
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- ou1 |
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- ang2 |
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- ai3 |
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- iu4 |
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- "\xFCan2" |
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- ang3 |
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- en1 |
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- ong2 |
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- uei4 |
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- ei4 |
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- iao3 |
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- "\xFC4" |
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- an2 |
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- ing4 |
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- an3 |
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- a3 |
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- ie3 |
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- an1 |
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- ian3 |
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- uo1 |
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- ing1 |
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- ou4 |
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- ian1 |
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- ou3 |
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- eng1 |
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- ang1 |
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- in1 |
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- a4 |
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- eng2 |
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- uo4 |
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- u1 |
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- ang4 |
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- iou3 |
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- iao4 |
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- ian2 |
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- u2 |
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- ui4 |
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- e2 |
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- en2 |
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- u3 |
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- ing2 |
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- ao4 |
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- ong1 |
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- an4 |
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- ai2 |
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- ao3 |
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- uo3 |
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- ian4 |
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- p |
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- c |
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- a1 |
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- ai4 |
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- e4 |
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- s |
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- k |
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- r |
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- i2 |
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- f |
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- n |
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- u4 |
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- ch |
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- i3 |
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- i1 |
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- q |
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- z |
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- m |
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- t |
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- g |
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- b |
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- e |
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- h |
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- i4 |
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- x |
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- "\uFF0C" |
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- zh |
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- "\u3002" |
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- l |
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- j |
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- sh |
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- d |
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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: pypinyin_g2p_phone |
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feats_extract: fbank |
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feats_extract_conf: |
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fs: 24000 |
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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: 300 |
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n_fft: 2048 |
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win_length: 1200 |
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normalize: global_mvn |
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normalize_conf: |
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stats_file: exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/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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encoder_normalize_before: false |
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decoder_normalize_before: false |
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reduction_factor: 1 |
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encoder_type: conformer |
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decoder_type: conformer |
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conformer_pos_enc_layer_type: rel_pos |
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conformer_self_attn_layer_type: rel_selfattn |
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conformer_activation_type: swish |
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use_macaron_style_in_conformer: true |
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use_cnn_in_conformer: true |
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conformer_enc_kernel_size: 7 |
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conformer_dec_kernel_size: 31 |
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init_type: xavier_uniform |
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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: 24000 |
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n_fft: 2048 |
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hop_length: 300 |
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f0max: 400 |
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f0min: 80 |
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pitch_normalize: global_mvn |
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pitch_normalize_conf: |
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stats_file: exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/stats/train/pitch_stats.npz |
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energy_extract: energy |
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energy_extract_conf: |
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fs: 24000 |
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n_fft: 2048 |
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hop_length: 300 |
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win_length: 1200 |
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energy_normalize: global_mvn |
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energy_normalize_conf: |
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stats_file: exp/tts_train_tacotron2_raw_phn_pypinyin_g2p_phone/decode_tacotron2_teacher_forcing_train.loss.best/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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distributed: false |
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