7 citations · 18 across the 8 of their papers we have counts for
4 papers · 1 filter
Generating Adversarial Samples For Training Wake-up Word Detection Systems Against Confusing Words
Haoxu Wang, Yan Jia, Zeqing Zhao +3
Wake-up word detection models are widely used in real life, but suffer from severe performance degradation when encountering adversarial samples. In this paper we discuss the conce…
Towards Lightweight Applications: Asymmetric Enroll-Verify Structure for Speaker Verification
Qingjian Lin, Lin Yang, Xuyang Wang +3
With the development of deep learning, automatic speaker verification has made considerable progress over the past few years. However, to design a lightweight and robust system wit…
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…
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…