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| base_config: | |
| - egs/egs_bases/tts/fs2.yaml | |
| - egs/datasets/audio/emotion/base_text2mel.yaml | |
| task_cls: modules.GenerSpeech.task.generspeech.GenerSpeechTask | |
| # emotion encoder | |
| emotion_encoder_path: checkpoints/Emotion_encoder.pt # set the emotion encoder path | |
| # vocoder | |
| vocoder: hifigan | |
| vocoder_ckpt: checkpoints/trainset_hifigan | |
| # dataset | |
| raw_data_dir: 'data/raw/training_set' | |
| processed_data_dir: 'data/processed/training_set' | |
| binary_data_dir: 'data/binary/training_set' | |
| test_input_dir: '' | |
| # process | |
| binarizer_cls: data_gen.tts.base_binarizer_emotion.EmotionBinarizer | |
| audio_sample_rate: 16000 | |
| hop_size: 256 # For 22050Hz, 275 ~= 12.5 ms (0.0125 * sample_rate) | |
| win_size: 1024 # For 22050Hz, 1100 ~= 50 ms (If None, win_size: fft_size) (0.05 * sample_rate) | |
| fmin: 80 # Set this to 55 if your speaker is male! if female, 95 should help taking off noise. (To test depending on dataset. Pitch info: male~[65, 260], female~[100, 525]) | |
| fmax: 7600 # To be increased/reduced depending on data. | |
| fft_size: 1024 # Extra window size is filled with 0 paddings to match this parameter | |
| min_level_db: -100 | |
| ref_level_db: 20 | |
| binarization_args: | |
| reset_phone_dict: true | |
| reset_word_dict: true | |
| shuffle: true | |
| trim_eos_bos: false | |
| trim_sil: false | |
| with_align: true | |
| with_f0: true | |
| with_f0cwt: false | |
| with_linear: false | |
| with_spk_embed: true | |
| with_spk_id: true | |
| with_txt: true | |
| with_wav: true | |
| with_word: true | |
| preprocess_cls: egs.datasets.audio.libritts.pre_align.LibrittsPreAlign | |
| preprocess_args: | |
| nsample_per_mfa_group: 1000 | |
| # text process | |
| txt_processor: en | |
| use_mfa: true | |
| with_phsep: true | |
| reset_phone_dict: true | |
| reset_word_dict: true | |
| add_eos_bos: true | |
| # mfa | |
| mfa_group_shuffle: false | |
| mfa_offset: 0.02 | |
| # wav processors | |
| wav_processors: [] | |
| save_sil_mask: true | |
| vad_max_silence_length: 12 | |
| # data | |
| word_dict_size: 10000 | |
| num_spk: 500 | |
| use_spk_embed: true | |
| use_spk_id: false | |
| use_word: true | |
| use_emotion: true | |
| use_gt_dur: false | |
| ref_audio: '' | |
| text: '' | |
| # training | |
| num_sanity_val_steps: -1 | |
| max_updates: 300000 | |
| max_sentences: 100000 | |
| num_test_samples: 72 | |
| ## glow | |
| post_glow_hidden: 128 | |
| post_glow_kernel_size: 3 | |
| post_glow_n_blocks: 8 | |
| post_glow_n_block_layers: 3 | |
| share_wn_layers: 4 | |
| sigmoid_scale: false | |
| post_share_cond_layers: false | |
| use_txt_cond: true | |
| use_latent_cond: true | |
| noise_scale: 0.8 | |
| # prosody extractor | |
| lambda_commit: 0.25 | |
| vq_start: 20500 | |
| vae_dropout: 0.0 | |
| nVQ: 128 | |
| forcing: 20000 | |
| crop: false | |
| predictor_grad: 1.0 |