计算机工程与应用Issue(7)：217-220,4.DOI:10.3778/j.issn.1002-8331.1206-0216
说话人识别中MFCC参数提取的改进
Improvement of MFCC parameters extraction in speaker rec-ognition
摘要
Abstract
In the speaker recognition, Mel Frequency Cepstrum Coefficient(MFCC)is the most commonly used speech features. This paper presents an improved method of extraction to take the MFCC parameters, in the FFT of this step in the traditional process of extraction of MFCC spectrum reconstruction, noise compensation for reconstruction of the spectrum, with good noise immunity, approaching pure voice spectrum. The experiments show that the improvements based on this extracted MFCC, can significantly improve the recognition rate for speaker recognition system, especially in low SNR environment, the effect is obvious.关键词
MFCC参数/频谱重建/说话人识别Key words
MFCC parameters/spectrum reconstruction/speaker recognition分类
信息技术与安全科学引用本文复制引用
胡政权,曾毓敏,宗原,李梦超..说话人识别中MFCC参数提取的改进[J].计算机工程与应用,2014,(7):217-220,4.基金项目
江苏省自然科学基金（No.BK2010546）。 （）
