Research on Pitch Extraction Algorithm of Noisy Speech

被引：0

作者：

Xing Hongyan ^{[1
]}

Yu Cuihua ^{[1
]}

Li Peng ^{[1
]}

机构：

[1] Nanjing Univ Informat Sci & Technol, Coll Elect & Informat Engn, Nanjing, Jiangsu, Peoples R China

来源：

MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8 | 2012年 / 433-440卷

关键词：

Hilbert-Huang transform; EMD soft-threshold de-noising method; pitch detection;

D O I：

10.4028/www.scientific.net/AMR.433-440.4675

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Pitch detection in noisy environment plays an important role in speech analyzing and recognition. In the light of the properties of Hilbert-Huang transform and the EMD soft-threshold de-noising method, an effective pitch detection method for noisy speech signal is proposed in this paper. Firstly, the EMD soft-threshold de-noising method is applied to realize the background noise reduction, secondly, using the Hilbert-Huang transform to detect the pitch period of the de-noising speech signal. The analysis proposed in this paper show that, compared with the conventional methods of the pitch detection of the noisy speech, especially for the low signal to noise ratio (SNR), this approach has a higher accuracy.

引用

页码：4675 / 4678

页数：4

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