This model was trained by ftshijt using aishell3/tts1 recipe in espnet.
- Python API
See https://github.com/espnet/espnet_model_zoo - Evaluate in the recipe
See ESPNet repo for how to use pre-trained models - Config
config: conf/train.yaml print_config: false log_level: INFO dry_run: false iterator_type: sequence output_dir: exp/tts_train_raw_phn_pypinyin_g2p_phone 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 unused_parameters: false sharded_ddp: false cudnn_enabled: true cudnn_benchmark: false cudnn_deterministic: true collect_stats: false write_collected_feats: false max_epoch: 500 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: 1 no_forward_run: false resume: true train_dtype: float32 use_amp: false log_interval: null use_tensorboard: true use_wandb: false wandb_project: null wandb_id: null wandb_entity: null wandb_name: null wandb_model_log_interval: -1 detect_anomaly: false pretrain_path: null init_param: [] ignore_init_mismatch: false freeze_param: [] num_iters_per_epoch: 500 batch_size: 20 valid_batch_size: null batch_bins: 3750000 valid_batch_bins: null train_shape_file: - exp/tts_stats_raw_phn_pypinyin_g2p_phone/train/text_shape.phn - exp/tts_stats_raw_phn_pypinyin_g2p_phone/train/speech_shape valid_shape_file: - exp/tts_stats_raw_phn_pypinyin_g2p_phone/valid/text_shape.phn - exp/tts_stats_raw_phn_pypinyin_g2p_phone/valid/speech_shape batch_type: numel valid_batch_type: null fold_length: - 150 - 240000 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/train_no_dev/text - text - text - - dump/raw/train_no_dev/wav.scp - speech - sound - - dump/xvector/train_no_dev/xvector.scp - spembs - kaldi_ark valid_data_path_and_name_and_type: - - dump/raw/dev/text - text - text - - dump/raw/dev/wav.scp - speech - sound - - dump/xvector/dev/xvector.scp - spembs - kaldi_ark allow_variable_data_keys: false max_cache_size: 0.0 max_cache_fd: 32 valid_max_cache_size: null optim: adam optim_conf: lr: 0.001 eps: 1.0e-06 weight_decay: 0.0 scheduler: null scheduler_conf: {} token_list: - - - '' - d - sh - j - i4 - zh - l - x - e - b - g - i1 - h - q - m - u4 - t - z - ch - i3 - i2 - f - s - n - r - ian4 - e4 - ong1 - en2 - ai4 - k - ing2 - a1 - iou3 - uo3 - ao4 - u3 - ui4 - p - e2 - an1 - eng2 - c - in1 - ai2 - an4 - ian2 - ing1 - ai3 - ang4 - ao3 - ian1 - uo4 - ian3 - iao4 - ang1 - u2 - ü4 - u1 - a4 - eng1 - ing4 - üan2 - ie4 - en1 - iu4 - uei4 - ou4 - er4 - e1 - ei4 - an3 - ong2 - uo2 - ang3 - ou1 - ou3 - ong4 - eng4 - an2 - iang4 - a3 - iang1 - ia1 - iao1 - uan4 - ia4 - iu3 - ang2 - uo1 - ei3 - e3 - in4 - iang3 - ü1 - uan1 - en3 - iao3 - ie3 - ao1 - ai1 - ü2 - ing3 - er2 - ü3 - uan3 - üe4 - in3 - en - ei2 - üe2 - ie2 - en4 - ua4 - in2 - iu2 - uan2 - a2 - ie1 - ou2 - ui1 - iang2 - ong3 - i - uang3 - eng3 - ün4 - uang4 - uai4 - iong4 - v3 - iou2 - ui2 - un1 - üan4 - uang1 - ei1 - uang2 - o2 - a - ao2 - iao2 - ui3 - un4 - o1 - ua2 - un2 - uen2 - iu1 - v4 - ua1 - uei1 - üan3 - ün1 - üe1 - ün2 - uen4 - uei3 - uei2 - un3 - iou4 - o4 - er3 - uen1 - iong3 - iou1 - ia3 - üan1 - ia2 - iong1 - üe3 - uen3 - ve4 - iong2 - uai2 - uai1 - ua3 - ün3 - er - uai3 - ia - o3 - v2 - o - ueng1 - ei - '2' - ua - io1 - odim: null model_conf: {} use_preprocessor: true token_type: phn bpemodel: null non_linguistic_symbols: null cleaner: null g2p: pypinyin_g2p_phone feats_extract: fbank feats_extract_conf: n_fft: 2048 hop_length: 300 win_length: 1200 fs: 24000 fmin: 80 fmax: 7600 n_mels: 80 normalize: global_mvn normalize_conf: stats_file: exp/tts_stats_raw_phn_pypinyin_g2p_phone/train/feats_stats.npz tts: tacotron2 tts_conf: embed_dim: 512 elayers: 1 eunits: 512 econv_layers: 3 econv_chans: 512 econv_filts: 5 atype: location adim: 512 aconv_chans: 32 aconv_filts: 15 cumulate_att_w: true dlayers: 2 dunits: 1024 prenet_layers: 2 prenet_units: 256 postnet_layers: 5 postnet_chans: 512 postnet_filts: 5 output_activation: null use_batch_norm: true use_concate: true use_residual: false spk_embed_dim: 512 spk_embed_integration_type: add use_gst: true gst_heads: 4 gst_tokens: 16 dropout_rate: 0.5 zoneout_rate: 0.1 reduction_factor: 1 use_masking: true bce_pos_weight: 10.0 use_guided_attn_loss: true guided_attn_loss_sigma: 0.4 guided_attn_loss_lambda: 1.0 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 version: 0.10.2a1 distributed: false