Emotional Speaker Identification by Humans and Machines

被引：0

作者：

Yang, Yingchun ^{[1
]}

Chen, Li ^{[1
]}

Wang, Wenyi ^{[1
]}

机构：

[1] Zhejiang Univ, Coll Comp Sci & Technol, Hangzhou 310003, Zhejiang, Peoples R China

来源：

BIOMETRIC RECOGNITION: CCBR 2011 | 2011年 / 7098卷

关键词：

emotional speaker recognition; human listeners; EFA; emotional speaker identification;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper concerns the problem of the effect of emotional change on humans and machines for speaker identification. A contrasting experiment is carried out between Automatic Speaker Identification (ASI) system (applying GMM-UBM and Emotional Factor Analysis (EFA) algorithm) and aural system on emotional speech corpus MASC. The experimental result is similar to that in channel-mismatched condition, i.e. the ASI system is much better than the single listener, especially when emotion compensation algorithm EFA is applied. Meanwhile,fusion of multiple listeners can significantly improve the aural system performance by 23.86% and make it outperform the ASI system.

引用

页码：167 / 173

页数：7

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