Original paper
Segment boundary detection directed attention for online end-to-end speech recognition
Volume: 2020, Issue: 1
Published: Jan 30, 2020
Abstract
Attention-based encoder-decoder models have recently shown competitive performance for automatic speech recognition (ASR) compared to conventional ASR systems. However, how to employ attention models for online speech recognition still needs to be explored. Different from conventional attention models wherein the soft alignment is obtained by a pass over the entire input sequence, attention models for online recognition must learn online...
Paper Details
Title
Segment boundary detection directed attention for online end-to-end speech recognition
Published Date
Jan 30, 2020
Volume
2020
Issue
1
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