An improved non-intrusive objective speech quality evaluation based on FGMM and FNN

Jing Wang*, Ying Zhang, Yuling Song, Shenghui Zhao, Jingming Kuang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

An improved non-intrusive objective speech quality evaluation method is proposed based on Fuzzy Gaussian Mixture Model (FGMM) and Fuzzy Neural Network (FNN). The degraded speech is separated into three classes (unvoiced, voiced and silence), then for each class the consistency measurement between Perceptual Linear Predictive (PLP) features of the degraded speech and the pre-trained FGMM reference model is calculated and mapped to an objective speech quality score using FNN mapping method. The proposed method performs better than the previous work using GMM and ITU-T P.563 under the test conditions used in this paper.

源语言英语
主期刊名Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
3495-3499
页数5
DOI
出版状态已出版 - 2010
活动2010 3rd International Congress on Image and Signal Processing, CISP 2010 - Yantai, 中国
期限: 16 10月 201018 10月 2010

出版系列

姓名Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
7

会议

会议2010 3rd International Congress on Image and Signal Processing, CISP 2010
国家/地区中国
Yantai
时期16/10/1018/10/10

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