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wav2vec2-xls-r-1b-ca-lm

Automatic Speech Recognition Transformers PyTorch TensorBoard

Catalan wav2vec2 collectivat/tv3_parla generated_from_trainer hf-asr-leaderboard mozilla-foundation/common_voice_8_0 projecte-aina/parlament_parla robust-speech-event Eval Results Inference Endpoints

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wav2vec2-xls-r-1b-ca-lm / text /symbols.py

PereLluis13's picture

add LM to 1b model

04b0dd9 about 2 years ago

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	""" from https://github.com/keithito/tacotron """

	'''
	Defines the set of symbols used in text input to the model.

	The default is a set of ASCII characters that works well for English or text that has been run through Unidecode. For other data, you can modify _characters. See TRAINING_DATA.md for details. '''
	from text import cmudict

	_pad = '_' # in principle not used in tacotron2
	_punctuation = '\'!,.?…· '
	_letters = 'AÀÁBCÇDEÉÈFGHIÍÏJKLMNOÓÒPQRSTUÜÚVWXYZaàábcçdeéèfghiíïjklmnoóòpqrstuüúvwxyz'

	# Prepend "@" to ARPAbet symbols to ensure uniqueness (some are the same as uppercase letters):
	_arpabet = ['@' + s for s in cmudict.valid_symbols]

	# Export all symbols:
	symbols = [_pad] + list(_punctuation) + list(_letters) + _arpabet