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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: zh |
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datasets: |
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- aishell3 |
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license: cc-by-4.0 |
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inference: false |
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--- |
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This model was trained by ftshijt using aishell3/tts1 recipe in <a href="https://github.com/espnet/espnet/">espnet</a>. |
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<p> </p> |
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<ul> |
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<li><strong>Python API</strong><pre><code class="language-python">See https://github.com/espnet/espnet_model_zoo</code></pre></li> |
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<li><strong>Evaluate in the recipe</strong><pre> |
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<code class="language-bash"> |
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See ESPNet repo for how to use pre-trained models |
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</pre></li> |
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<li><strong>Config</strong><pre><code>config: conf/train.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_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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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: 500 |
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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: 1 |
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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_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: 500 |
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batch_size: 20 |
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valid_batch_size: null |
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batch_bins: 3750000 |
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valid_batch_bins: null |
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train_shape_file: |
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- exp/tts_stats_raw_phn_pypinyin_g2p_phone/train/text_shape.phn |
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- exp/tts_stats_raw_phn_pypinyin_g2p_phone/train/speech_shape |
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valid_shape_file: |
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- exp/tts_stats_raw_phn_pypinyin_g2p_phone/valid/text_shape.phn |
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- exp/tts_stats_raw_phn_pypinyin_g2p_phone/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/train_no_dev/text |
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- text |
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- text |
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- - dump/raw/train_no_dev/wav.scp |
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- speech |
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- sound |
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- - dump/xvector/train_no_dev/xvector.scp |
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- spembs |
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- kaldi_ark |
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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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- - dump/raw/dev/wav.scp |
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- speech |
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- sound |
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- - dump/xvector/dev/xvector.scp |
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- spembs |
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- kaldi_ark |
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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: 0.001 |
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eps: 1.0e-06 |
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weight_decay: 0.0 |
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scheduler: null |
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scheduler_conf: {} |
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token_list: |
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- <blank> |
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- <unk> |
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- '' |
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- d |
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- sh |
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- j |
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- i4 |
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- zh |
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- l |
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- x |
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- e |
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- b |
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- g |
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- i1 |
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- h |
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- q |
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- m |
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- u4 |
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- t |
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- z |
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- ch |
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- i3 |
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- i2 |
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- f |
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- s |
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- n |
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- r |
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- ian4 |
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- e4 |
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- ong1 |
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- en2 |
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- ai4 |
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- k |
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- ing2 |
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- a1 |
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- iou3 |
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- uo3 |
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- ao4 |
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- u3 |
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- ui4 |
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- p |
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- e2 |
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- an1 |
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- eng2 |
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- c |
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- in1 |
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- ai2 |
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- an4 |
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- ian2 |
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- ing1 |
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- ai3 |
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- ang4 |
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- ao3 |
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- ian1 |
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- uo4 |
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- ian3 |
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- iao4 |
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- ang1 |
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- u2 |
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- ü4 |
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- u1 |
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- a4 |
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- eng1 |
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- ing4 |
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- üan2 |
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- ie4 |
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- en1 |
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- iu4 |
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- uei4 |
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- ou4 |
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- er4 |
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- e1 |
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- ei4 |
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- an3 |
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- ong2 |
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- uo2 |
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- ang3 |
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- ou1 |
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- ou3 |
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- ong4 |
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- eng4 |
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- an2 |
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- iang4 |
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- a3 |
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- iang1 |
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- ia1 |
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- iao1 |
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- uan4 |
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- ia4 |
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- iu3 |
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- ang2 |
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- uo1 |
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- ei3 |
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- e3 |
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- in4 |
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- iang3 |
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- ü1 |
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- uan1 |
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- en3 |
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- iao3 |
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- ie3 |
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- ao1 |
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- ai1 |
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- ü2 |
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- ing3 |
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- er2 |
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- ü3 |
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- uan3 |
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- üe4 |
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- in3 |
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- en |
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- ei2 |
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- üe2 |
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- ie2 |
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- en4 |
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- ua4 |
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- in2 |
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- iu2 |
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- uan2 |
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- a2 |
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- ie1 |
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- ou2 |
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- ui1 |
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- iang2 |
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- ong3 |
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- i |
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- uang3 |
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- eng3 |
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- ün4 |
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- uang4 |
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- uai4 |
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- iong4 |
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- v3 |
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- iou2 |
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- ui2 |
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- un1 |
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- üan4 |
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- uang1 |
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- ei1 |
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- uang2 |
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- o2 |
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- a |
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- ao2 |
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- iao2 |
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- ui3 |
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- un4 |
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- o1 |
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- ua2 |
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- un2 |
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- uen2 |
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- iu1 |
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- v4 |
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- ua1 |
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- uei1 |
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- üan3 |
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- ün1 |
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- üe1 |
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- ün2 |
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- uen4 |
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- uei3 |
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- uei2 |
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- un3 |
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- iou4 |
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- o4 |
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- er3 |
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- uen1 |
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- iong3 |
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- iou1 |
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- ia3 |
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- üan1 |
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- ia2 |
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- iong1 |
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- üe3 |
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- uen3 |
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- ve4 |
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- iong2 |
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- uai2 |
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- uai1 |
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- ua3 |
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- ün3 |
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- er |
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- uai3 |
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- ia |
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- o3 |
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- v2 |
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- o |
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- ueng1 |
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- ei |
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- '2' |
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- ua |
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- io1 |
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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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n_fft: 2048 |
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hop_length: 300 |
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win_length: 1200 |
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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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normalize: global_mvn |
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normalize_conf: |
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stats_file: exp/tts_stats_raw_phn_pypinyin_g2p_phone/train/feats_stats.npz |
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tts: tacotron2 |
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tts_conf: |
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embed_dim: 512 |
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elayers: 1 |
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eunits: 512 |
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econv_layers: 3 |
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econv_chans: 512 |
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econv_filts: 5 |
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atype: location |
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adim: 512 |
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aconv_chans: 32 |
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aconv_filts: 15 |
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cumulate_att_w: true |
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dlayers: 2 |
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dunits: 1024 |
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prenet_layers: 2 |
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prenet_units: 256 |
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postnet_layers: 5 |
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postnet_chans: 512 |
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postnet_filts: 5 |
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output_activation: null |
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use_batch_norm: true |
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use_concate: true |
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use_residual: false |
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spk_embed_dim: 512 |
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spk_embed_integration_type: add |
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use_gst: true |
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gst_heads: 4 |
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gst_tokens: 16 |
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dropout_rate: 0.5 |
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zoneout_rate: 0.1 |
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reduction_factor: 1 |
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use_masking: true |
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bce_pos_weight: 10.0 |
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use_guided_attn_loss: true |
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guided_attn_loss_sigma: 0.4 |
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guided_attn_loss_lambda: 1.0 |
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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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version: 0.10.2a1 |
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distributed: false</code></pre></li> |
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</ul> |
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