LukeJacob2023
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Upload hyperparams.yaml
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hyperparams.yaml
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# ################################
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# Model: Inference for source separation with SepFormer
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# https://arxiv.org/abs/2010.13154
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# Generated from speechbrain/recipes/WSJ0Mix/separation/train/hparams/sepformer-wsj03mix.yaml
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# Dataset : wsj03mix
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# ###############################
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# Parameters
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sample_rate: 8000
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num_spks: 3
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# Specifying the network
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Encoder: !new:speechbrain.lobes.models.dual_path.Encoder
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kernel_size: 16
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out_channels: 256
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SBtfintra: !new:speechbrain.lobes.models.dual_path.SBTransformerBlock
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num_layers: 8
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d_model: 256
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nhead: 8
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d_ffn: 1024
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dropout: 0
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use_positional_encoding: true
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norm_before: true
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SBtfinter: !new:speechbrain.lobes.models.dual_path.SBTransformerBlock
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num_layers: 8
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d_model: 256
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nhead: 8
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d_ffn: 1024
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dropout: 0
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use_positional_encoding: true
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norm_before: true
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MaskNet: !new:speechbrain.lobes.models.dual_path.Dual_Path_Model
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num_spks: !ref <num_spks>
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in_channels: 256
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out_channels: 256
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num_layers: 2
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K: 250
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intra_model: !ref <SBtfintra>
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inter_model: !ref <SBtfinter>
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norm: ln
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linear_layer_after_inter_intra: false
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skip_around_intra: true
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Decoder: !new:speechbrain.lobes.models.dual_path.Decoder
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in_channels: 256
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out_channels: 1
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kernel_size: 16
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stride: 8
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bias: false
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modules:
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encoder: !ref <Encoder>
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decoder: !ref <Decoder>
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masknet: !ref <MaskNet>
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pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
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loadables:
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masknet: !ref <MaskNet>
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encoder: !ref <Encoder>
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decoder: !ref <Decoder>
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