From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition

no code implementations • 2 Oct 2019 • Duc Le, Xiaohui Zhang, Weiyi Zheng, Christian Fügen, Geoffrey Zweig, Michael L. Seltzer

There is an implicit assumption that traditional hybrid approaches for automatic speech recognition (ASR) cannot directly model graphemes and need to rely on phonetic lexicons to get competitive performance, especially on English which has poor grapheme-phoneme correspondence.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2