Audio–Visual Speech Recognition Based on Dual Cross-Modality Attentions with the Transformer Model

Since attention mechanism was introduced in neural machine translation, attention has been combined with the long short-term memory (LSTM) or replaced the LSTM in a transformer model to overcome the sequence-to-sequence (seq2seq) problems with the LSTM. In contrast to the neural machine translation,...

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Autors principals:	Yong-Hyeok Lee, Dong-Won Jang, Jae-Bin Kim, Rae-Hong Park, Hyung-Min Park
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2020-10-01
Col·lecció:	Applied Sciences
Matèries:	audio–visual recognition attention cross-modality alignment dual cross-modality attention hybrid CTC/attention transformer
Accés en línia:	https://www.mdpi.com/2076-3417/10/20/7263
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