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cs.SD2024
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…
cs.SD2024
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…
cs.SD2023
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…