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wespeaker-voxceleb-resnet293-LM

pyannote.audio
PyTorch
ONNX
pyannote
pyannote-audio-model
wespeaker
audio
voice
speech
speaker
speaker-recognition
speaker-verification
speaker-identification
speaker-embedding
Model card Files Community
wespeaker-voxceleb-resnet293-LM
File size: 1,744 Bytes 
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model:
  _target_: pyannote.audio.models.embedding.WeSpeakerResNet293
  sample_rate: 16000
  num_channels: 1
  num_mel_bins: 80
  frame_length: 25
  frame_shift: 10
  dither: 1.0
  window_type: hamming
  use_energy: false
model_args:
  embed_dim: 256
  feat_dim: 80
  pooling_func: TSTP
  two_emb_layer: false
data_type: shard
dataloader_args:
  batch_size: 32
  drop_last: true
  num_workers: 16
  pin_memory: false
  prefetch_factor: 8
dataset_args:
  aug_prob: 0.6
  fbank_args:
    dither: 1.0
    frame_length: 25
    frame_shift: 10
    num_mel_bins: 80
  num_frms: 200
  shuffle: true
  shuffle_args:
    shuffle_size: 2500
  spec_aug: false
  spec_aug_args:
    max_f: 8
    max_t: 10
    num_f_mask: 1
    num_t_mask: 1
    prob: 0.6
  speed_perturb: true
exp_dir: exp/ResNet293-TSTP-emb256-fbank80-num_frms200-aug0.6-spTrue-saFalse-ArcMargin-SGD-epoch150
gpus:
- 0
- 1
log_batch_interval: 100
loss: CrossEntropyLoss
loss_args: {}
margin_scheduler: MarginScheduler
margin_update:
  epoch_iter: 17062
  final_margin: 0.2
  fix_start_epoch: 40
  increase_start_epoch: 20
  increase_type: exp
  initial_margin: 0.0
  update_margin: true

model_init: null
noise_data: data/musan/lmdb
num_avg: 2
num_epochs: 150
optimizer: SGD
optimizer_args:
  lr: 0.1
  momentum: 0.9
  nesterov: true
  weight_decay: 0.0001
projection_args:
  easy_margin: false
  embed_dim: 256
  num_class: 17982
  project_type: arc_margin
  scale: 32.0
reverb_data: data/rirs/lmdb
save_epoch_interval: 5
scheduler: ExponentialDecrease
scheduler_args:
  epoch_iter: 17062
  final_lr: 5.0e-05
  initial_lr: 0.1
  num_epochs: 150
  scale_ratio: 1.0
  warm_from_zero: true
  warm_up_epoch: 6
seed: 42
train_data: data/vox2_dev/shard.list
train_label: data/vox2_dev/utt2spk