A Bidirectional Context Embedding Transformer for Automatic Speech Recognition

A Bidirectional Context Embedding Transformer for Automatic Speech Recognition

Transformers have become popular in building end-to-end automatic speech recognition (ASR) systems. However, transformer ASR systems are usually trained to give output sequences in the left-to-right order, disregarding the right-to-left context. Currently, the existing transformer-based ASR systems...

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Bibliographic Details
Main Authors: Lyuchao Liao, Francis Afedzie Kwofie, Zhifeng Chen, Guangjie Han, Yongqiang Wang, Yuyuan Lin, Dongmei Hu
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Information
Subjects:
automatic speech recognition (ASR)
speech transformer
bidirectional decoder
bidirectional embedding
end-to-end model
attention
Online Access:https://www.mdpi.com/2078-2489/13/2/69

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