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asr-wav2vec2-commonvoice-14-en

Automatic Speech Recognition

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asr-wav2vec2-commonvoice-14-en / hyperparams.yaml

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	# ################################
	# Model: wav2vec2 + DNN + CTC
	# Augmentation: SpecAugment
	# Authors:
	# Sung-Lin Yeh 2021
	# Pooneh Mousavi 2023
	# ################################

	# BPE parameters
	token_type: unigram # ["unigram", "bpe", "char"]
	character_coverage: 1.0

	# Model parameters
	# activation: !name:torch.nn.LeakyReLU
	dnn_neurons: 1024
	wav2vec_output_dim: 1024
	dropout: 0.15

	sample_rate: 16000

	wav2vec2_hub: facebook/wav2vec2-large-lv60

	# Outputs
	output_neurons: 1000 # BPE size, index(blank/eos/bos) = 0

	# Decoding parameters
	# Be sure that the bos and eos index match with the BPEs ones
	blank_index: 0
	bos_index: 1
	eos_index: 2

	enc: !new:speechbrain.nnet.containers.Sequential
	input_shape: [null, null, !ref <wav2vec_output_dim>]
	linear1: !name:speechbrain.nnet.linear.Linear
	n_neurons: !ref <dnn_neurons>
	bias: True
	bn1: !name:speechbrain.nnet.normalization.BatchNorm1d
	activation: !new:torch.nn.LeakyReLU
	drop: !new:torch.nn.Dropout
	p: !ref <dropout>
	linear2: !name:speechbrain.nnet.linear.Linear
	n_neurons: !ref <dnn_neurons>
	bias: True
	bn2: !name:speechbrain.nnet.normalization.BatchNorm1d
	activation2: !new:torch.nn.LeakyReLU
	drop2: !new:torch.nn.Dropout
	p: !ref <dropout>
	linear3: !name:speechbrain.nnet.linear.Linear
	n_neurons: !ref <dnn_neurons>
	bias: True
	bn3: !name:speechbrain.nnet.normalization.BatchNorm1d
	activation3: !new:torch.nn.LeakyReLU

	wav2vec2: !new:speechbrain.lobes.models.huggingface_transformers.wav2vec2.Wav2Vec2
	source: !ref <wav2vec2_hub>
	output_norm: True
	freeze: True
	save_path: wav2vec2_checkpoint

	ctc_lin: !new:speechbrain.nnet.linear.Linear
	input_size: !ref <dnn_neurons>
	n_neurons: !ref <output_neurons>

	log_softmax: !new:speechbrain.nnet.activations.Softmax
	apply_log: True

	ctc_cost: !name:speechbrain.nnet.losses.ctc_loss
	blank_index: !ref <blank_index>

	asr_model: !new:torch.nn.ModuleList
	- [!ref <enc>, !ref <ctc_lin>]

	tokenizer: !new:sentencepiece.SentencePieceProcessor

	encoder: !new:speechbrain.nnet.containers.LengthsCapableSequential
	wav2vec2: !ref <wav2vec2>
	enc: !ref <enc>
	ctc_lin: !ref <ctc_lin>
	log_softmax: !ref <log_softmax>

	modules:
	encoder: !ref <encoder>

	# Decoding parameters
	decoding_function: !name:speechbrain.decoders.CTCBeamSearcher
	test_beam_search:
	beam_size: 100
	beam_prune_logp: -12.0
	token_prune_min_logp: -1.2
	prune_history: True
	blank_index: !ref <blank_index>
	topk: 1
	alpha: 1.0
	beta: 0.5
	kenlm_model_path: speechbrain/asr-wav2vec2-commonvoice-14-en/en_5gram.arpa # uncomment this line if you do want to use ngram rescoring

	pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
	loadables:
	wav2vec2: !ref <wav2vec2>
	asr: !ref <asr_model>
	tokenizer: !ref <tokenizer>