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Decoupling recognition and transcription in Mandarin ASR

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arxiv 2108.01129 v1 pith:PHM4PZIW submitted 2021-08-02 cs.CL cs.SDeess.AS

Jiahong Yuan , Xingyu Cai , Dongji Gao , Renjie Zheng , Liang Huang , Kenneth Church This is my paper · ORCID
classification cs.CLcs.SDeess.AS
keywords hanziaudiopinyinchinesefactoringrecognitionsoundsystem
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Much of the recent literature on automatic speech recognition (ASR) is taking an end-to-end approach. Unlike English where the writing system is closely related to sound, Chinese characters (Hanzi) represent meaning, not sound. We propose factoring audio -> Hanzi into two sub-tasks: (1) audio -> Pinyin and (2) Pinyin -> Hanzi, where Pinyin is a system of phonetic transcription of standard Chinese. Factoring the audio -> Hanzi task in this way achieves 3.9% CER (character error rate) on the Aishell-1 corpus, the best result reported on this dataset so far.

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