Joint Robust Voicing Detection and Pitch Estimation Based on Residual Harmonics

被引：0

作者：

Drugman, Thomas ^{[1
]}

Alwan, Abeer ^{[2
]}

机构：

[1] Univ Mons, TCTS Lab FNRS, B-7000 Mons, Belgium

[2] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA USA

来源：

12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5 | 2011年

关键词：

fundamental frequency; pitch tracking; pitch estimation; voicing decisions; SPEECH;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper focuses on the problem of pitch tracking in noisy conditions. A method using harmonic information in the residual signal is presented. The proposed criterion is used both for pitch estimation, as well as for determining the voicing segments of speech. In the experiments, the method is compared to six state-of-the-art pitch trackers on the Keele and CSTR databases. The proposed technique is shown to be particularly robust to additive noise, leading to a significant improvement in adverse conditions.

引用

页码：1984 / +

页数：2

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