ESPnet2 pretrained model, kan-bayashi/jsut_tts_train_jets_raw_phn_jaconv_pyopenjtalk_prosody_train.total_count.ave_5best, fs=22050, lang=jp
Creators: name: Kan-Bayashi
Publisher: name: Zenodo
Year: 2022
Subjects: ESPnet
deep-learning
python
pytorch
speech-recognition
speech-synthesis
speech-translation
machine-translation

description: This model was trained by kan-bayashi using jsut/tts1 recipe in espnet. <strong>Python API</strong> <pre><code class="language-python">See https://github.com/espnet/espnet_model_zoo</code></pre> <strong>Evaluate in the recipe</strong> <pre><code class="language-bash">git clone https://github.com/espnet/espnet cd espnet git checkout 14fcb2d42b2609f766ffaa7a79e9c921cd8398d9 pip install -e . cd egs2/jsut/tts1 # Download the model file here ./run.sh --skip_data_prep false --skip_train true --download_model kan-bayashi/jsut_tts_train_jets_raw_phn_jaconv_pyopenjtalk_prosody_train.total_count.ave_5best</code> </pre> <strong>Config</strong> <pre><code>config: conf/tuning/train_jets.yaml print_config: false log_level: INFO dry_run: false iterator_type: sequence output_dir: exp/tts_train_jets_raw_phn_jaconv_pyopenjtalk_prosody ngpu: 1 seed: 777 num_workers: 4 num_att_plot: 3 dist_backend: nccl dist_init_method: env:// dist_world_size: 4 dist_rank: 0 local_rank: 0 dist_master_addr: localhost dist_master_port: 46054 dist_launcher: null multiprocessing_distributed: true unused_parameters: true sharded_ddp: false cudnn_enabled: true cudnn_benchmark: false cudnn_deterministic: false 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 - text2mel_loss - min - - train - text2mel_loss - min - - train - total_count - max keep_nbest_models: 5 nbest_averaging_interval: 0 grad_clip: -1 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: 50 use_matplotlib: true use_tensorboard: true create_graph_in_tensorboard: false 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: 1000 batch_size: 20 valid_batch_size: null batch_bins: 3000000 valid_batch_bins: null train_shape_file: - exp/tts_stats_raw_22.05khz_phn_jaconv_pyopenjtalk_prosody_jets/train/text_shape.phn - exp/tts_stats_raw_22.05khz_phn_jaconv_pyopenjtalk_prosody_jets/train/speech_shape valid_shape_file: - exp/tts_stats_raw_22.05khz_phn_jaconv_pyopenjtalk_prosody_jets/valid/text_shape.phn - exp/tts_stats_raw_22.05khz_phn_jaconv_pyopenjtalk_prosody_jets/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/22k/raw/tr_no_dev/text - text - text - - dump/22k/raw/tr_no_dev/wav.scp - speech - sound - - exp/tts_stats_raw_22.05khz_phn_jaconv_pyopenjtalk_prosody_jets/train/collect_feats/pitch.scp - pitch - npy - - exp/tts_stats_raw_22.05khz_phn_jaconv_pyopenjtalk_prosody_jets/train/collect_feats/energy.scp - energy - npy valid_data_path_and_name_and_type: - - dump/22k/raw/dev/text - text - text - - dump/22k/raw/dev/wav.scp - speech - sound - - exp/tts_stats_raw_22.05khz_phn_jaconv_pyopenjtalk_prosody_jets/valid/collect_feats/pitch.scp - pitch - npy - - exp/tts_stats_raw_22.05khz_phn_jaconv_pyopenjtalk_prosody_jets/valid/collect_feats/energy.scp - energy - npy allow_variable_data_keys: false max_cache_size: 0.0 max_cache_fd: 32 valid_max_cache_size: null optim: adamw optim_conf: lr: 0.0002 betas: - 0.8 - 0.99 eps: 1.0e-09 weight_decay: 0.0 scheduler: exponentiallr scheduler_conf: gamma: 0.999875 optim2: adamw optim2_conf: lr: 0.0002 betas: - 0.8 - 0.99 eps: 1.0e-09 weight_decay: 0.0 scheduler2: exponentiallr scheduler2_conf: gamma: 0.999875 generator_first: true token_list: - - - a - o - i - '[' - '#' - u - ']' - e - k - n - t - r - s - N - m - _ - sh - d - g - ^ - $ - w - cl - h - y - b - j - ts - ch - z - p - f - ky - ry - gy - hy - ny - by - my - py - v - dy - '?' - ty - odim: null model_conf: {} use_preprocessor: true token_type: phn bpemodel: null non_linguistic_symbols: null cleaner: jaconv g2p: pyopenjtalk_prosody feats_extract: fbank feats_extract_conf: n_fft: 1024 hop_length: 256 win_length: null fs: 22050 fmin: 80 fmax: 7600 n_mels: 80 normalize: global_mvn normalize_conf: stats_file: exp/tts_stats_raw_22.05khz_phn_jaconv_pyopenjtalk_prosody_jets/train/feats_stats.npz tts: jets tts_conf: generator_type: jets_generator generator_params: adim: 256 aheads: 2 elayers: 4 eunits: 1024 dlayers: 4 dunits: 1024 positionwise_layer_type: conv1d positionwise_conv_kernel_size: 3 duration_predictor_layers: 2 duration_predictor_chans: 256 duration_predictor_kernel_size: 3 use_masking: true encoder_normalize_before: true decoder_normalize_before: true encoder_type: transformer decoder_type: transformer conformer_rel_pos_type: latest conformer_pos_enc_layer_type: rel_pos conformer_self_attn_layer_type: rel_selfattn conformer_activation_type: swish use_macaron_style_in_conformer: true use_cnn_in_conformer: true conformer_enc_kernel_size: 7 conformer_dec_kernel_size: 31 init_type: xavier_uniform transformer_enc_dropout_rate: 0.2 transformer_enc_positional_dropout_rate: 0.2 transformer_enc_attn_dropout_rate: 0.2 transformer_dec_dropout_rate: 0.2 transformer_dec_positional_dropout_rate: 0.2 transformer_dec_attn_dropout_rate: 0.2 pitch_predictor_layers: 5 pitch_predictor_chans: 256 pitch_predictor_kernel_size: 5 pitch_predictor_dropout: 0.5 pitch_embed_kernel_size: 1 pitch_embed_dropout: 0.0 stop_gradient_from_pitch_predictor: true energy_predictor_layers: 2 energy_predictor_chans: 256 energy_predictor_kernel_size: 3 energy_predictor_dropout: 0.5 energy_embed_kernel_size: 1 energy_embed_dropout: 0.0 stop_gradient_from_energy_predictor: false generator_out_channels: 1 generator_channels: 512 generator_global_channels: -1 generator_kernel_size: 7 generator_upsample_scales: - 8 - 8 - 2 - 2 generator_upsample_kernel_sizes: - 16 - 16 - 4 - 4 generator_resblock_kernel_sizes: - 3 - 7 - 11 generator_resblock_dilations: - - 1 - 3 - 5 - - 1 - 3 - 5 - - 1 - 3 - 5 generator_use_additional_convs: true generator_bias: true generator_nonlinear_activation: LeakyReLU generator_nonlinear_activation_params: negative_slope: 0.1 generator_use_weight_norm: true segment_size: 64 idim: 47 odim: 80 discriminator_type: hifigan_multi_scale_multi_period_discriminator discriminator_params: scales: 1 scale_downsample_pooling: AvgPool1d scale_downsample_pooling_params: kernel_size: 4 stride: 2 padding: 2 scale_discriminator_params: in_channels: 1 out_channels: 1 kernel_sizes: - 15 - 41 - 5 - 3 channels: 128 max_downsample_channels: 1024 max_groups: 16 bias: true downsample_scales: - 2 - 2 - 4 - 4 - 1 nonlinear_activation: LeakyReLU nonlinear_activation_params: negative_slope: 0.1 use_weight_norm: true use_spectral_norm: false follow_official_norm: false periods: - 2 - 3 - 5 - 7 - 11 period_discriminator_params: in_channels: 1 out_channels: 1 kernel_sizes: - 5 - 3 channels: 32 downsample_scales: - 3 - 3 - 3 - 3 - 1 max_downsample_channels: 1024 bias: true nonlinear_activation: LeakyReLU nonlinear_activation_params: negative_slope: 0.1 use_weight_norm: true use_spectral_norm: false generator_adv_loss_params: average_by_discriminators: false loss_type: mse discriminator_adv_loss_params: average_by_discriminators: false loss_type: mse feat_match_loss_params: average_by_discriminators: false average_by_layers: false include_final_outputs: true mel_loss_params: fs: 22050 n_fft: 1024 hop_length: 256 win_length: null window: hann n_mels: 80 fmin: 0 fmax: null log_base: null lambda_adv: 1.0 lambda_mel: 45.0 lambda_feat_match: 2.0 lambda_var: 1.0 lambda_align: 2.0 sampling_rate: 22050 cache_generator_outputs: true pitch_extract: dio pitch_extract_conf: reduction_factor: 1 use_token_averaged_f0: false fs: 22050 n_fft: 1024 hop_length: 256 f0max: 400 f0min: 80 pitch_normalize: global_mvn pitch_normalize_conf: stats_file: exp/tts_stats_raw_22.05khz_phn_jaconv_pyopenjtalk_prosody_jets/train/pitch_stats.npz energy_extract: energy energy_extract_conf: reduction_factor: 1 use_token_averaged_energy: false fs: 22050 n_fft: 1024 hop_length: 256 win_length: null energy_normalize: global_mvn energy_normalize_conf: stats_file: exp/tts_stats_raw_22.05khz_phn_jaconv_pyopenjtalk_prosody_jets/train/energy_stats.npz required: - output_dir - token_list version: '202205' distributed: true</code></pre>