allow_cache: false
batch_frames: 3600
config: conf/ctxv2w.v1.yaml
crop_max_frames: 100
discriminator_adv_loss_params:
  average_by_discriminators: false
discriminator_grad_norm: -1
discriminator_optimizer_params:
  betas:
  - 0.5
  - 0.9
  lr: 0.0002
  weight_decay: 0.0
discriminator_optimizer_type: Adam
discriminator_params:
  follow_official_norm: true
  period_discriminator_params:
    bias: true
    channels: 32
    downsample_scales:
    - 3
    - 3
    - 3
    - 3
    - 1
    in_channels: 1
    kernel_sizes:
    - 5
    - 3
    max_downsample_channels: 1024
    nonlinear_activation: LeakyReLU
    nonlinear_activation_params:
      negative_slope: 0.1
    out_channels: 1
    use_spectral_norm: false
    use_weight_norm: true
  periods:
  - 2
  - 3
  - 5
  - 7
  - 11
  scale_discriminator_params:
    bias: true
    channels: 128
    downsample_scales:
    - 4
    - 4
    - 4
    - 4
    - 1
    in_channels: 1
    kernel_sizes:
    - 15
    - 41
    - 5
    - 3
    max_downsample_channels: 1024
    max_groups: 16
    nonlinear_activation: LeakyReLU
    nonlinear_activation_params:
      negative_slope: 0.1
    out_channels: 1
  scale_downsample_pooling: AvgPool1d
  scale_downsample_pooling_params:
    kernel_size: 4
    padding: 2
    stride: 2
  scales: 3
discriminator_scheduler_params:
  gamma: 0.5
  milestones:
  - 200000
  - 400000
  - 600000
  - 800000
discriminator_scheduler_type: MultiStepLR
discriminator_train_start_steps: 0
discriminator_type: HiFiGANMultiScaleMultiPeriodDiscriminator
distributed: true
dropout_features: 0.0
eval_interval_steps: 100000
feat_match_loss_params:
  average_by_discriminators: false
  average_by_layers: false
  include_final_outputs: false
frontend_mel_prediction_stop_steps: 200000
frontend_params:
  conformer_params:
    activation_type: swish
    attention_dim: 184
    attention_dropout_rate: 0.2
    attention_heads: 2
    cnn_module_kernel: 31
    concat_after: false
    dropout_rate: 0.2
    linear_units: 1536
    macaron_style: true
    normalize_before: true
    num_blocks: 2
    pos_enc_layer_type: rel_pos
    positional_dropout_rate: 0.2
    positionwise_conv_kernel_size: 3
    positionwise_layer_type: conv1d
    selfattention_layer_type: rel_selfattn
    use_cnn_module: true
  prompt_channels: 1024
  vqvec_channels: 512
generator_adv_loss_params:
  average_by_discriminators: false
generator_grad_norm: -1
generator_optimizer_params:
  betas:
  - 0.5
  - 0.9
  lr: 0.0002
  weight_decay: 0.0
generator_optimizer_type: Adam
generator_params:
  bias: true
  channels: 512
  condition_dim: 1024
  in_channels: 184
  kernel_size: 7
  nonlinear_activation: snakebeta-condition
  out_channels: 1
  resblock: '1'
  resblock_dilations:
  - - 1
    - 3
    - 5
  - - 1
    - 3
    - 5
  - - 1
    - 3
    - 5
  resblock_kernel_sizes:
  - 3
  - 7
  - 11
  snake_logscale: true
  upsample_kernel_sizes:
  - 16
  - 10
  - 6
  - 4
  upsample_scales:
  - 8
  - 5
  - 3
  - 2
  use_additional_convs: true
  use_weight_norm: true
generator_scheduler_params:
  gamma: 0.5
  milestones:
  - 200000
  - 400000
  - 600000
  - 800000
generator_scheduler_type: MultiStepLR
generator_train_start_steps: 1
generator_type: BigVGAN
hop_size: 240
lambda_adv: 1.0
lambda_aux: 45.0
lambda_feat_match: 2.0
lambda_frontend_mel_prediction: 60
log_interval_steps: 1000
max_num_frames: 3000
mel_loss_params:
  fft_size: 2048
  fmax: 8000
  fmin: 40
  fs: 24000
  hop_size: 300
  log_base: null
  num_mels: 80
  win_length: 1200
  window: hann
min_num_frames: 600
num_mels: 80
num_save_intermediate_results: 4
num_workers: 8
outdir: exp/train_all_ctxv2w.v1
pin_memory: true
pretrain: ''
prompt_fold_by_2: true
prompt_net_type: ConvPromptPrenet
rank: 0
sampling_rate: 24000
save_interval_steps: 10000
use_feat_match_loss: true
use_mel_loss: true
use_stft_loss: false
verbose: 1
version: 0.5.3
vq_codebook: feats/vqidx/codebook.npy
win_length: 697
world_size: 4