195 citations · 227 across the 10 of their papers we have counts for
5 papers · 1 filter
Improved ASR for Under-Resourced Languages Through Multi-Task Learning with Acoustic Landmarks
Di He, Boon Pang Lim, Xuesong Yang +2
Furui first demonstrated that the identity of both consonant and vowel can be perceived from the C-V transition; later, Stevens proposed that acoustic landmarks are the primary cue…
Deep Learning Based Speech Beamforming
Kaizhi Qian, Yang Zhang, Shiyu Chang +3
Multi-channel speech enhancement with ad-hoc sensors has been a challenging task. Speech model guided beamforming algorithms are able to recover natural sounding speech, but the sp…
Joint Modeling of Accents and Acoustics for Multi-Accent Speech Recognition
Xuesong Yang, Kartik Audhkhasi, Andrew Rosenberg +3
The performance of automatic speech recognition systems degrades with increasing mismatch between the training and testing scenarios. Differences in speaker accents are a significa…
End-to-End Joint Learning of Natural Language Understanding and Dialogue Manager
Xuesong Yang, Yun-Nung Chen, Dilek Hakkani-Tur +4
Natural language understanding and dialogue policy learning are both essential in conversational systems that predict the next system actions in response to a current user utteranc…
Landmark-based consonant voicing detection on multilingual corpora
Xiang Kong, Xuesong Yang, Mark Hasegawa-Johnson +2
This paper tests the hypothesis that distinctive feature classifiers anchored at phonetic landmarks can be transferred cross-lingually without loss of accuracy. Three consonant voi…