195 citations · 227 across the 10 of their papers we have counts for
4 papers · 1 filter
When CTC Training Meets Acoustic Landmarks
Di He, Xuesong Yang, Boon Pang Lim +3
Connectionist temporal classification (CTC) provides an end-to-end acoustic model (AM) training strategy. CTC learns accurate AMs without time-aligned phonetic transcription, but s…
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…