most citedSparsely Overlapped Speech Training in the Time Domain: Joint Learning of Target Speech Separation and Personal VAD Benefits

7 citations · 18 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SD20217 cited

Sparsely Overlapped Speech Training in the Time Domain: Joint Learning of Target Speech Separation and Personal VAD Benefits

Qingjian Lin, Lin Yang, Xuyang Wang +3

Target speech separation is the process of filtering a certain speaker's voice out of speech mixtures according to the additional speaker identity information provided. Recent work…

cs.CL2021

TransfoRNN: Capturing the Sequential Information in Self-Attention Representations for Language Modeling

Tze Yuang Chong, Xuyang Wang, Lin Yang +1

In this paper, we describe the use of recurrent neural networks to capture sequential information from the self-attention representations to improve the Transformers. Although self…

eess.AS20216 cited

The 2020 Personalized Voice Trigger Challenge: Open Database, Evaluation Metrics and the Baseline Systems

Yan Jia, Xingming Wang, Xiaoyi Qin +4

The 2020 Personalized Voice Trigger Challenge (PVTC2020) addresses two different research problems a unified setup: joint wake-up word detection with speaker verification on close-…

cs.SD2020

Exploring Voice Conversion based Data Augmentation in Text-Dependent Speaker Verification

Xiaoyi Qin, Yaogen Yang, Lin Yang +3

In this paper, we focus on improving the performance of the text-dependent speaker verification system in the scenario of limited training data. The speaker verification system dee…

cs.LG2020

Training Wake Word Detection with Synthesized Speech Data on Confusion Words

Yan Jia, Zexin Cai, Murong Ma +4

Confusing-words are commonly encountered in real-life keyword spotting applications, which causes severe degradation of performance due to complex spoken terms and various kinds of…

eess.AS20202 cited

Mask Detection and Breath Monitoring from Speech: on Data Augmentation, Feature Representation and Modeling

Haiwei Wu, Lin Zhang, Lin Yang +4

This paper introduces our approaches for the Mask and Breathing Sub-Challenge in the Interspeech COMPARE Challenge 2020. For the mask detection task, we train deep convolutional ne…