--- tags: - espnet - audio - text-to-speech language: ko datasets: - kss license: cc-by-4.0 --- ## ESPnet2 TTS model ### `imdanboy/kss_tts_train_jets_raw_phn_korean_cleaner_korean_jaso_train.total_count.ave` This model was trained by satoshi.2020 using kss recipe in [espnet](https://github.com/espnet/espnet/). ### Demo: How to use in ESPnet2 ```bash cd espnet git checkout c173c30930631731e6836c274a591ad571749741 pip install -e . cd egs2/kss/tts1 ./run.sh --skip_data_prep false --skip_train true --download_model imdanboy/kss_tts_train_jets_raw_phn_korean_cleaner_korean_jaso_train.total_count.ave ``` ## TTS config
expand ``` 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_korean_cleaner_korean_jaso 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: 46357 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 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: 2000000 valid_batch_bins: null train_shape_file: - exp/tts_stats_raw_phn_korean_cleaner_korean_jaso/train/text_shape.phn - exp/tts_stats_raw_phn_korean_cleaner_korean_jaso/train/speech_shape valid_shape_file: - exp/tts_stats_raw_phn_korean_cleaner_korean_jaso/valid/text_shape.phn - exp/tts_stats_raw_phn_korean_cleaner_korean_jaso/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/raw/tr_no_dev/text - text - text - - dump/raw/tr_no_dev/wav.scp - speech - sound - - exp/tts_stats_raw_phn_korean_cleaner_korean_jaso/train/collect_feats/pitch.scp - pitch - npy - - exp/tts_stats_raw_phn_korean_cleaner_korean_jaso/train/collect_feats/energy.scp - energy - npy valid_data_path_and_name_and_type: - - dump/raw/dev/text - text - text - - dump/raw/dev/wav.scp - speech - sound - - exp/tts_stats_raw_phn_korean_cleaner_korean_jaso/valid/collect_feats/pitch.scp - pitch - npy - - exp/tts_stats_raw_phn_korean_cleaner_korean_jaso/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: - - - - ᄋ - ᅡ - ᅵ - ᅳ - ᆫ - ᄀ - ᅥ - ᆯ - ᄌ - ᄉ - ᄂ - ᅩ - ᄃ - ᄒ - . - ᅮ - ᄅ - ᅦ - ᆼ - ᄆ - ᅢ - ᅧ - ᅭ - ᄇ - ᆨ - ᆷ - ᆻ - ᆸ - ᄎ - ᅪ - '?' - ᄐ - ᄑ - ᆺ - ᄁ - ᅴ - ᅬ - ᅣ - ᄄ - ᅯ - ᆭ - ᅨ - ᅱ - ᇂ - ᄏ - ᄊ - ᆹ - ᅲ - ᆽ - ᇀ - ᄈ - ᇁ - ᄍ - ᆮ - ᅫ - ',' - ᆾ - '!' - ᆩ - ᆰ - ᆶ - ᅤ - ':' - ᆲ - ᆱ - ᆬ - ᅰ - '''' - '-' - ᆿ - ᆴ - ᆪ - odim: null model_conf: {} use_preprocessor: true token_type: phn bpemodel: null non_linguistic_symbols: null cleaner: korean_cleaner g2p: korean_jaso feats_extract: fbank feats_extract_conf: n_fft: 1024 hop_length: 256 win_length: null fs: 24000 fmin: 0 fmax: null n_mels: 80 normalize: global_mvn normalize_conf: stats_file: exp/tts_stats_raw_phn_korean_cleaner_korean_jaso/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: 76 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: 24000 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: 24000 cache_generator_outputs: true pitch_extract: dio pitch_extract_conf: reduction_factor: 1 use_token_averaged_f0: false fs: 24000 n_fft: 1024 hop_length: 256 f0max: 400 f0min: 80 pitch_normalize: global_mvn pitch_normalize_conf: stats_file: exp/tts_stats_raw_phn_korean_cleaner_korean_jaso/train/pitch_stats.npz energy_extract: energy energy_extract_conf: reduction_factor: 1 use_token_averaged_energy: false fs: 24000 n_fft: 1024 hop_length: 256 win_length: null energy_normalize: global_mvn energy_normalize_conf: stats_file: exp/tts_stats_raw_phn_korean_cleaner_korean_jaso/train/energy_stats.npz required: - output_dir - token_list version: '202204' distributed: true ```
### Citing ESPnet ```BibTex @inproceedings{watanabe2018espnet, 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}, title={{ESPnet}: End-to-End Speech Processing Toolkit}, year={2018}, booktitle={Proceedings of Interspeech}, pages={2207--2211}, doi={10.21437/Interspeech.2018-1456}, url={http://dx.doi.org/10.21437/Interspeech.2018-1456} } @inproceedings{hayashi2020espnet, title={{Espnet-TTS}: Unified, reproducible, and integratable open source end-to-end text-to-speech toolkit}, 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}, booktitle={Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, pages={7654--7658}, year={2020}, organization={IEEE} } ``` or arXiv: ```bibtex @misc{watanabe2018espnet, title={ESPnet: End-to-End Speech Processing Toolkit}, 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}, year={2018}, eprint={1804.00015}, archivePrefix={arXiv}, primaryClass={cs.CL} } ```