13 citations · 40 across the 16 of their papers we have counts for
3 papers · 1 filter
PM-MMUT: Boosted Phone-Mask Data Augmentation using Multi-Modeling Unit Training for Phonetic-Reduction-Robust E2E Speech Recognition
Guodong Ma, Pengfei Hu, Nurmemet Yolwas +2
Consonant and vowel reduction are often encountered in speech, which might cause performance degradation in automatic speech recognition (ASR). Our recently proposed learning strat…
Minimum word error training for non-autoregressive Transformer-based code-switching ASR
Yizhou Peng, Jicheng Zhang, Haihua Xu +2
Non-autoregressive end-to-end ASR framework might be potentially appropriate for code-switching recognition task thanks to its inherent property that present output token being ind…
E2E-based Multi-task Learning Approach to Joint Speech and Accent Recognition
Jicheng Zhang, Yizhou Peng, Pham Van Tung +3
In this paper, we propose a single multi-task learning framework to perform End-to-End (E2E) speech recognition (ASR) and accent recognition (AR) simultaneously. The proposed frame…