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https://www.modelscope.cn/iic/speech_sambert-hifigan_tts_zh-cn_16k.git
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jiaqi.sjq
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voices/zhibei_emo/voc/ckpt/checkpoint_0.pth
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voices/zhibei_emo/voc/ckpt/checkpoint_0.pth
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voices/zhibei_emo/voc/config.yaml
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voices/zhibei_emo/voc/config.yaml
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model_type: hifigan
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Model:
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###########################################################
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# GENERATOR NETWORK ARCHITECTURE SETTING #
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###########################################################
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Generator:
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params:
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in_channels: 80
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out_channels: 1
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channels: 256
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kernel_size: 7
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upsample_scales: [10, 5, 2, 2]
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upsample_kernal_sizes: [20, 11, 4, 4]
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resblock_kernel_sizes: [3, 7, 11]
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resblock_dilations:
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- [1, 3, 5, 7]
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- [1, 3, 5, 7]
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- [1, 3, 5, 7]
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bias: true
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causal: true
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nonlinear_activation: "LeakyReLU"
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nonlinear_activation_params:
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negative_slope: 0.1
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use_weight_norm: true
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optimizer:
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type: Adam
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params:
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lr: 2.0e-4
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betas: [0.5, 0.9]
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weight_decay: 0.0
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scheduler:
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type: MultiStepLR
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params:
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gamma: 0.5
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milestones:
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- 200000
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- 400000
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- 600000
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- 800000
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###########################################################
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# DISCRIMINATOR NETWORK ARCHITECTURE SETTING #
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###########################################################
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MultiScaleDiscriminator:
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params:
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scales: 3
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downsample_pooling: "DWT"
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downsample_pooling_params:
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kernel_size: 4
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stride: 2
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padding: 2
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discriminator_params:
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in_channels: 1
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out_channels: 1
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kernel_sizes: [15, 41, 5, 3]
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channels: 128
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max_downsample_channels: 1024
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max_groups: 16
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bias: true
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downsample_scales: [4, 4, 4, 4, 1]
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nonlinear_activation: "LeakyReLU"
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nonlinear_activation_params:
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negative_slope: 0.1
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follow_official_norm: true
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optimizer:
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type: Adam
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params:
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lr: 2.0e-4
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betas: [0.5, 0.9]
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weight_decay: 0.0
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scheduler:
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type: MultiStepLR
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params:
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gamma: 0.5
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milestones:
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- 200000
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- 400000
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- 600000
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- 800000
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MultiPeriodDiscriminator:
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params:
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periods: [2, 3, 5, 7, 11]
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discriminator_params:
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in_channels: 1
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out_channels: 1
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kernel_sizes: [5, 3]
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channels: 32
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downsample_scales: [3, 3, 3, 3, 1]
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max_downsample_channels: 1024
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bias: true
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nonlinear_activation: "LeakyReLU"
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nonlinear_activation_params:
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negative_slope: 0.1
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use_spectral_norm: false
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optimizer:
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type: Adam
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params:
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lr: 2.0e-4
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betas: [0.5, 0.9]
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weight_decay: 0.0
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scheduler:
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type: MultiStepLR
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params:
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gamma: 0.5
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milestones:
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- 200000
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- 400000
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- 600000
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- 800000
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####################################################
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# LOSS SETTING #
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####################################################
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Loss:
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generator_adv_loss:
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enable: True
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params:
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average_by_discriminators: False
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weights: 1.0
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discriminator_adv_loss:
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enable: True
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params:
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average_by_discriminators: False
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weights: 1.0
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stft_loss:
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enable: False # Whether to use multi-resolution STFT loss.
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mel_loss:
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enable: True
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params:
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fs: 16000
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fft_size: 2048
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hop_size: 200
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win_length: 1000
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window: "hann"
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num_mels: 80
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fmin: 0
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fmax: 8000
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log_base: null
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weights: 45.0
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subband_stft_loss:
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enable: False
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params:
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fft_sizes: [384, 683, 171] # List of FFT size for STFT-based loss.
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hop_sizes: [35, 75, 15] # List of hop size for STFT-based loss
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win_lengths: [150, 300, 60] # List of window length for STFT-based loss.
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window: "hann_window" # Window function for STFT-based loss
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feat_match_loss:
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enable: True
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params:
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average_by_discriminators: false
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average_by_layers: false
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weights: 2.0
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###########################################################
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# DATA LOADER SETTING #
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###########################################################
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batch_size: 16
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batch_max_steps: 9600 # Length of each audio in batch. Make sure dividable by hop_size.
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pin_memory: True
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num_workers: 2 # FIXME: set > 0 may stuck on macos
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remove_short_samples: False
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allow_cache: True
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generator_grad_norm: -1
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discriminator_grad_norm: -1
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###########################################################
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# INTERVAL SETTING #
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###########################################################
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generator_train_start_steps: 1 # Number of steps to start to train discriminator.
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discriminator_train_start_steps: 0 # Number of steps to start to train discriminator.
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train_max_steps: 2500000 # Number of training steps.
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save_interval_steps: 20000 # Interval steps to save checkpoint.
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eval_interval_steps: 10000 # Interval steps to evaluate the network.
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log_interval_steps: 1000 # Interval steps to record the training log.
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###########################################################
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# OTHER SETTING #
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###########################################################
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num_save_intermediate_results: 4 # Number of results to be saved as intermediate results.
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