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cs.SD2022
Tiny-Sepformer: A Tiny Time-Domain Transformer Network for Speech Separation
Jian Luo, Jianzong Wang, Ning Cheng +3
Time-domain Transformer neural networks have proven their superiority in speech separation tasks. However, these models usually have a large number of network parameters, thus ofte…
cs.SD2022
Speech Augmentation Based Unsupervised Learning for Keyword Spotting
Jian Luo, Jianzong Wang, Ning Cheng +2
In this paper, we investigated a speech augmentation based unsupervised learning approach for keyword spotting (KWS) task. KWS is a useful speech application, yet also heavily depe…
cs.CL2022
Adaptive Activation Network For Low Resource Multilingual Speech Recognition
Jian Luo, Jianzong Wang, Ning Cheng +2
Low resource automatic speech recognition (ASR) is a useful but thorny task, since deep learning ASR models usually need huge amounts of training data. The existing models mostly e…