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nguyenvulebinh
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voice-filter

Transformers
PyTorch
multilingual
voicefilter
Inference Endpoints
Model card Files Community
2
voice-filter
File size: 2,184 Bytes 
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efb533c
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efb533c
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{
  "architectures": [
    "VoiceFilter"
  ],
  "audio_max_lengh": 20,
  "enh_args": {
    "batch_size": 8,
    "batch_type": "folded",
    "best_model_criterion": [
      [
        "valid",
        "si_snr",
        "max"
      ],
      [
        "valid",
        "loss",
        "min"
      ]
    ],
    "criterions": [
      {
        "conf": {
          "eps": 1e-07
        },
        "name": "si_snr",
        "wrapper": "pit",
        "wrapper_conf": {
          "independent_perm": false,
          "weight": 1.0
        }
      }
    ],
    "decoder": "stft",
    "decoder_conf": {
      "hop_length": 128,
      "n_fft": 512
    },
    "encoder": "stft",
    "encoder_conf": {
      "hop_length": 128,
      "n_fft": 512
    },
    "init": "xavier_uniform",
    "keep_nbest_models": 1,
    "max_epoch": 5,
    "model_conf": {
      "loss_type": "mask_mse",
      "mask_type": "psm"
    },
    "num_workers": 4,
    "optim": "adam",
    "optim_conf": {
      "eps": 1e-08,
      "lr": 0.001,
      "weight_decay": 1e-07
    },
    "patience": 10,
    "scheduler": "reducelronplateau",
    "scheduler_conf": {
      "factor": 0.7,
      "mode": "min",
      "patience": 1
    },
    "separator": "conformer_voice_filter",
    "separator_conf": {
      "adim": 1024,
      "aheads": 8,
      "attention_dropout_rate": 0.1,
      "concat_after": false,
      "conformer_activation_type": "swish",
      "conformer_enc_kernel_size": 5,
      "conformer_pos_enc_layer_type": "rel_pos",
      "conformer_self_attn_layer_type": "rel_selfattn",
      "dropout_rate": 0.1,
      "input_layer": "linear",
      "layers": 4,
      "linear_units": 896,
      "nonlinear": "relu",
      "normalize_before": false,
      "num_spk": 1,
      "positional_dropout_rate": 0.1,
      "positionwise_conv_kernel_size": 1,
      "positionwise_layer_type": "conv1d",
      "use_cnn_in_conformer": true,
      "use_macaron_style_in_conformer": true
    },
    "val_scheduler_criterion": [
      "valid",
      "loss"
    ],
    "xvector_emb_dim": 512
  },
  "enh_chunk_size": 5,
  "model_type": "voicefilter",
  "sample_rate": 16000,
  "torch_dtype": "float32",
  "transformers_version": "4.25.1"
}