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