Zhongxin Bai — accepted AI-conference papers

2020

Partial AUC Optimization Based Deep Speaker Embeddings with Class-Center Learning for Text-Independent Speaker Verification

Zhongxin Bai, Xiao-Lei Zhang, Jingdong Chen

ICASSP 2020accepted

Deep embedding based text-independent speaker verification has demonstrated superior performance to traditional methods in many challenging scenarios. Its loss functions can be generally categorized into two classes, i.e., verification and identification. The verification loss functions match the pi…

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2019

AUC Optimization for Deep Learning Based Voice Activity Detection

Zi-Chen Fan, Zhongxin Bai, Xiao-Lei Zhang, Susanto Rahardja, Jingdong Chen

ICASSP 2019accepted

Voice activity detection (VAD) based on deep neural networks (DNN) has demonstrated good performance in adverse acoustic environments. Current DNN based VAD optimizes a surrogate function, e.g. minimum cross-entropy or minimum squared error, at a given decision threshold. However, VAD usually works…

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