speechbrain
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sepformer-libri3mix

Audio-to-Audio speechbrain

English Source Separation Speech Separation Audio Source Separation Libri3Mix SepFormer Transformer audio-source-separation

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sepformer-libri3mix / hyperparams.yaml

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	# ################################
	# Model: Pretrained SepFormer for source separation
	# Dataset : Libri3Mix
	# ################################

	# Experiment params

	sample_rate: 8000
	num_spks: 3

	# Encoder parameters
	N_encoder_out: 256
	out_channels: 256
	kernel_size: 16
	kernel_stride: 8

	# 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: 3
	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:
	encoder: !ref <Encoder>
	masknet: !ref <MaskNet>
	decoder: !ref <Decoder>