Thank you for Attention: A survey on Attention-based Artificial Neural Networks for Automatic Speech Recognition

Guojun Lu; Priyabrata Karmakar; Shyh Wei Teng

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Thank you for Attention: A survey on Attention-based Artificial Neural Networks for Automatic Speech Recognition

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arxiv 2102.07259 v1 pith:EWLO4MTM submitted 2021-02-14 cs.SD cs.CLeess.AS

Priyabrata Karmakar , Shyh Wei Teng , Guojun Lu This is my paper · ORCID

classification cs.SDcs.CLeess.AS

keywords attentionmodelsneuralrecognitionspeechartificialautomaticsurvey

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Attention is a very popular and effective mechanism in artificial neural network-based sequence-to-sequence models. In this survey paper, a comprehensive review of the different attention models used in developing automatic speech recognition systems is provided. The paper focuses on the development and evolution of attention models for offline and streaming speech recognition within recurrent neural network- and Transformer- based architectures.

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