3 citations · 3 across the 4 of their papers we have counts for
4 papers
Serialized Output Training by Learned Dominance
Ying Shi, Lantian Li, Shi Yin +2
Serialized Output Training (SOT) has showcased state-of-the-art performance in multi-talker speech recognition by sequentially decoding the speech of individual speakers. To addres…
A Comprehensive Investigation on Speaker Augmentation for Speaker Recognition
Zhenyu Zhou, Shibiao Xu, Shi Yin +2
Data augmentation (DA) has played a pivotal role in the success of deep speaker recognition. Current DA techniques primarily focus on speaker-preserving augmentation, which does no…
Spot keywords from very noisy and mixed speech
Ying Shi, Dong Wang, Lantian Li +2
Most existing keyword spotting research focuses on conditions with slight or moderate noise. In this paper, we try to tackle a more challenging task: detecting keywords buried unde…
Learning Speech Rate in Speech Recognition
Xiangyu Zeng, Shi Yin, Dong Wang
A significant performance reduction is often observed in speech recognition when the rate of speech (ROS) is too low or too high. Most of present approaches to addressing the ROS v…