Upload 2 files
Browse files- config_dit_mel_seed.yml +79 -0
- hifigan.yml +25 -0
config_dit_mel_seed.yml
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log_dir: "./runs/run_dit_mel_seed"
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save_freq: 1
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log_interval: 10
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save_interval: 1000
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device: "cuda"
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epochs: 1000 # number of epochs for first stage training (pre-training)
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batch_size: 4
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batch_length: 100 # maximum duration of audio in a batch (in seconds)
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max_len: 80 # maximum number of frames
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pretrained_model: ""
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pretrained_encoder: ""
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load_only_params: False # set to true if do not want to load epoch numbers and optimizer parameters
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F0_path: "modules/JDC/bst.t7"
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preprocess_params:
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sr: 22050
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spect_params:
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n_fft: 1024
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win_length: 1024
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hop_length: 256
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n_mels: 80
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model_params:
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dit_type: "DiT" # uDiT or DiT
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reg_loss_type: "l2" # l1 or l2
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speech_tokenizer:
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path: "speech_tokenizer_v1.onnx"
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style_encoder:
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dim: 192
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campplus_path: "campplus_cn_common.bin"
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DAC:
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encoder_dim: 64
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encoder_rates: [2, 5, 5, 6]
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decoder_dim: 1536
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decoder_rates: [ 6, 5, 5, 2 ]
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sr: 24000
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length_regulator:
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channels: 768
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is_discrete: true
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content_codebook_size: 4096
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in_frame_rate: 50
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out_frame_rate: 80
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sampling_ratios: [1, 1, 1, 1]
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DiT:
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hidden_dim: 768
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num_heads: 12
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depth: 12
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class_dropout_prob: 0.1
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block_size: 4096
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in_channels: 80
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style_condition: true
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final_layer_type: 'wavenet'
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target: 'mel' # mel or codec
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content_dim: 768
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content_codebook_size: 1024
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content_type: 'discrete'
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f0_condition: false
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n_f0_bins: 512
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content_codebooks: 1
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is_causal: false
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long_skip_connection: true
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zero_prompt_speech_token: false # for prompt component, do not input corresponding speech token
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wavenet:
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hidden_dim: 768
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num_layers: 8
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kernel_size: 5
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dilation_rate: 1
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p_dropout: 0.2
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style_condition: true
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loss_params:
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base_lr: 0.0001
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hifigan.yml
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hift:
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in_channels: 80
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base_channels: 512
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nb_harmonics: 8
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sampling_rate: 22050
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nsf_alpha: 0.1
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nsf_sigma: 0.003
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nsf_voiced_threshold: 10
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upsample_rates: [8, 8]
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upsample_kernel_sizes: [16, 16]
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istft_params:
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n_fft: 16
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hop_len: 4
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resblock_kernel_sizes: [3, 7, 11]
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resblock_dilation_sizes: [[1, 3, 5], [1, 3, 5], [1, 3, 5]]
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source_resblock_kernel_sizes: [7, 11]
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source_resblock_dilation_sizes: [[1, 3, 5], [1, 3, 5]]
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lrelu_slope: 0.1
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audio_limit: 0.99
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f0_predictor:
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num_class: 1
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in_channels: 80
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cond_channels: 512
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pretrained_model_path: "hift.pt"
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