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noisy-whisper-rescuespeech

Automatic Speech Recognition

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noisy-whisper-rescuespeech / enhance.yaml

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	# Generated 2023-06-24 from:
	# /netscratch/sagar/thesis/speechbrain/recipes/RescueSpeech/Enhancement/joint-training/transformers/hparams/robust_asr_16k.yaml
	# yamllint disable
	# Model: wav2vec2 + DNN + CTC
	# Augmentation: SpecAugment
	# Authors: Sangeet Sagar 2023
	# ################################

	## Model parameters
	sample_rate: 16000

	# Decoding parameters
	min_decode_ratio: 0.0
	max_decode_ratio: 1.0
	test_beam_size: 8

	num_spks: 1

	# Enhancement model
	Encoder: &id004 !new:speechbrain.lobes.models.dual_path.Encoder
	kernel_size: 16
	out_channels: 256

	SBtfintra: &id001 !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: &id002 !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: &id005 !new:speechbrain.lobes.models.dual_path.Dual_Path_Model
	num_spks: 1
	in_channels: 256
	out_channels: 256
	num_layers: 2
	K: 250
	intra_model: *id001
	inter_model: *id002
	norm: ln
	linear_layer_after_inter_intra: false
	skip_around_intra: true

	# Whisper ASR and its decoder
	Decoder: &id006 !new:speechbrain.lobes.models.dual_path.Decoder
	in_channels: 256
	out_channels: 1
	kernel_size: 16
	stride: 8
	bias: false

	# Change the path to use a local model instead of the remote one
	pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
	loadables:
	encoder: !ref <Encoder>
	masknet: !ref <MaskNet>
	decoder: !ref <Decoder>

	modules:
	encoder: *id004
	masknet: *id005
	decoder: *id006