| dataset: | |
| bpe_model: bpe.model | |
| sample_rate: 24000 | |
| squeeze: false | |
| mel: | |
| sample_rate: 24000 | |
| n_fft: 1024 | |
| hop_length: 256 | |
| win_length: 1024 | |
| n_mels: 100 | |
| mel_fmin: 0 | |
| normalize: false | |
| gpt: | |
| model_dim: 1280 | |
| max_mel_tokens: 1815 | |
| max_text_tokens: 600 | |
| heads: 20 | |
| use_mel_codes_as_input: true | |
| mel_length_compression: 1024 | |
| layers: 24 | |
| number_text_tokens: 60513 | |
| number_mel_codes: 8194 | |
| start_mel_token: 8192 | |
| stop_mel_token: 8193 | |
| start_text_token: 0 | |
| stop_text_token: 1 | |
| train_solo_embeddings: false | |
| condition_type: conformer_perceiver | |
| condition_module: | |
| output_size: 512 | |
| linear_units: 2048 | |
| attention_heads: 8 | |
| num_blocks: 6 | |
| input_layer: conv2d2 | |
| perceiver_mult: 2 | |
| emo_condition_module: | |
| output_size: 512 | |
| linear_units: 1024 | |
| attention_heads: 4 | |
| num_blocks: 4 | |
| input_layer: conv2d2 | |
| perceiver_mult: 2 | |
| semantic_codec: | |
| codebook_size: 8192 | |
| hidden_size: 1024 | |
| codebook_dim: 8 | |
| vocos_dim: 384 | |
| vocos_intermediate_dim: 2048 | |
| vocos_num_layers: 12 | |
| s2mel: | |
| preprocess_params: | |
| sr: 22050 | |
| spect_params: | |
| n_fft: 1024 | |
| win_length: 1024 | |
| hop_length: 256 | |
| n_mels: 80 | |
| fmin: 0 | |
| fmax: None | |
| dit_type: DiT | |
| reg_loss_type: l1 | |
| style_encoder: | |
| dim: 192 | |
| length_regulator: | |
| channels: 512 | |
| is_discrete: false | |
| in_channels: 1024 | |
| content_codebook_size: 2048 | |
| sampling_ratios: | |
| - 1 | |
| - 1 | |
| - 1 | |
| - 1 | |
| vector_quantize: false | |
| n_codebooks: 1 | |
| quantizer_dropout: 0.0 | |
| f0_condition: false | |
| n_f0_bins: 512 | |
| DiT: | |
| hidden_dim: 512 | |
| num_heads: 8 | |
| depth: 13 | |
| class_dropout_prob: 0.1 | |
| block_size: 8192 | |
| in_channels: 80 | |
| style_condition: true | |
| final_layer_type: wavenet | |
| target: mel | |
| content_dim: 512 | |
| content_codebook_size: 1024 | |
| content_type: discrete | |
| f0_condition: false | |
| n_f0_bins: 512 | |
| content_codebooks: 1 | |
| is_causal: false | |
| long_skip_connection: true | |
| zero_prompt_speech_token: false | |
| time_as_token: false | |
| style_as_token: false | |
| uvit_skip_connection: true | |
| add_resblock_in_transformer: false | |
| wavenet: | |
| hidden_dim: 512 | |
| num_layers: 8 | |
| kernel_size: 5 | |
| dilation_rate: 1 | |
| p_dropout: 0.2 | |
| style_condition: true | |
| gpt_checkpoint: gpt.pth | |
| w2v_stat: wav2vec2bert_stats.pt | |
| s2mel_checkpoint: s2mel.pth | |
| emo_matrix: feat2.pt | |
| spk_matrix: feat1.pt | |
| emo_num: | |
| - 3 | |
| - 17 | |
| - 2 | |
| - 8 | |
| - 4 | |
| - 5 | |
| - 10 | |
| - 24 | |
| qwen_emo_path: qwen0.6bemo4-merge/ | |
| vocoder: | |
| type: bigvgan | |
| name: bigvgan_generator.pt | |
| version: 2.5 | |