3 years ago

Improving End-to-end Speech Recognition with Pronunciation-assisted Sub-word Modeling.

Hainan Xu, Shuoyang Ding, Shinji Watanabe

In recent years, end-to-end models have become popular for application in automatic speech recognition. Compared to hybrid approaches, which perform the phone-sequence to word conversion based on a lexicon, an end-to-end system models text directly, usually as a sequence of characters or sub-word features. We propose a sub-word modeling method that leverages the pronunciation information of a word. Experiments show that the proposed method can greatly improve upon the character-based baseline, and also outperform commonly used byte-pair encoding methods.

Publisher URL: http://arxiv.org/abs/1811.04284

DOI: arXiv:1811.04284v1

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