Improved pitch extraction algorithm for speech processing

被引：0
|
作者：
Chen X. [1 ]
Xu B. [1 ]
机构：
[1] Interactive Digital Media Technology Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing
来源：
Qinghua Daxue Xuebao/Journal of Tsinghua University | 2017年 / 57卷 / 01期
关键词：
Auto-correlation function; Pitch extraction; Speech signal processing;
D O I：
10.16511/j.cnki.qhdxxb.2017.21.018
中图分类号：
学科分类号：
摘要：
This paper presents an improved pitch extraction algorithm based on an auto-correlation function for speech processing. The original auto-correlation function algorithm is optimized by increasing the weights of the right pitch values by the texture feature, enlarging the search space by using more candidate pitch values, and restricting the search path to reliable pitch values. These three measures control the weight and proportion of the right pitch values in the search space and then optimize the search space. The algorithm was evaluated on the Keele and FDA databases. The results show that the voiced error is reduced by 28.74% and the pitch tract error is reduced by 5.53% relative to the original algorithm. Thus, this algorithm is more suitable for speech processing. © 2017, Tsinghua University Press. All right reserved.
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页码：95 / 99
页数：4
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