9 citations · 11 across the 5 of their papers we have counts for
5 papers
Language-Routing Mixture of Experts for Multilingual and Code-Switching Speech Recognition
Wenxuan Wang, Guodong Ma, Yuke Li +1
Multilingual speech recognition for both monolingual and code-switching speech is a challenging task. Recently, based on the Mixture of Experts (MoE), many works have made good pro…
A Policy-based Approach to the SpecAugment Method for Low Resource E2E ASR
Rui Li, Guodong Ma, Dexin Zhao +3
SpecAugment is a very effective data augmentation method for both HMM and E2E-based automatic speech recognition (ASR) systems. Especially, it also works in low-resource scenarios.…
Leveraging Phone Mask Training for Phonetic-Reduction-Robust E2E Uyghur Speech Recognition
Guodong Ma, Pengfei Hu, Jian Kang +2
In Uyghur speech, consonant and vowel reduction are often encountered, especially in spontaneous speech with high speech rate, which will cause a degradation of speech recognition…
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…
Machine Learning Promoting Extreme Simplification of Spectroscopy Equipment
Jianchao Lee, Qiannan Duan, Sifan Bi +8
The spectroscopy measurement is one of main pathways for exploring and understanding the nature. Today, it seems that racing artificial intelligence will remould its styles. The al…