Neutral-emotion model transformation algorithm based on polynomial function fitting

doi:10.3778/j.issn.1002-8331.2008.21.056

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (21): 206-208.DOI: 10.3778/j.issn.1002-8331.2008.21.056

• 机器学习 • Previous Articles Next Articles

Neutral-emotion model transformation algorithm based on polynomial function fitting

SHAN Zhen-yu,YANG Ying-chun

Department of Computer Science and Technology，Zhejiang University，Hangzhou 310027，China

Received:2008-04-30 Revised:2008-05-30 Online:2008-07-21 Published:2008-07-21
Contact: SHAN Zhen-yu

基于多项式拟合的中性-情感模型转换算法

单振宇,杨莹春

浙江大学计算机科学与技术学院，杭州 310027

通讯作者: 单振宇

Abstract

Abstract: One of the largest challenges in speaker recognition is dealing with speaker-emotion variability problem.A neutral-emotion model transformation algorithm is presented to overcome this limitation，which builds a relationship between emotion and neutral models.In this method，only neutral speech is needed in training emotion models.The experiments on MASC show that the EER is reduced to 10.31% from the 16.06%，and the recognition performance can be improved by this algorithm.

Key words: speaker recognition, gaussian mixture model, emotion speech

摘要： 情绪变化问题是说话人识别技术面临的一个难题。为了解决该问题，提出了基于多项式方程拟合的中性－情感模型转换算法。该算法建立了中性模型和情感模型之间的函数关系，只需要说话人的中性语音就能训练其各种情感类型的说话人模型。在普通话情感语音库上的实验表明，采用该方法后识别算法的等错误率由16.06%降低到10.31%，提高了系统性能。

关键词: 说话人识别, 高斯混合模型, 情感语音

SHAN Zhen-yu,YANG Ying-chun. Neutral-emotion model transformation algorithm based on polynomial function fitting[J]. Computer Engineering and Applications, 2008, 44(21): 206-208.

单振宇,杨莹春. 基于多项式拟合的中性-情感模型转换算法[J]. 计算机工程与应用, 2008, 44(21): 206-208.

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Neutral-emotion model transformation algorithm based on polynomial function fitting

基于多项式拟合的中性-情感模型转换算法

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