现代电子技术2017，Vol.40Issue(9)：18-21,4.DOI:10.16652/j.issn.1004-373x.2017.09.005
改进的DWT-MFCC特征提取算法
Improved feature extraction algorithm based on DWT-MFCC
殷瑞祥 1程俊杰1
作者信息
- 1. 华南理工大学 电子与信息学院,广东 广州 510640
- 折叠
摘要
Abstract
The wavelet transform based on DWT-MFCC is introduced into the parameter extraction of MFCC. The DWT re-places the FFT to decompose the speech signal into the wavelet coefficient with multiple sub-bands. The frequency response of the wavelet coefficient is spliced to a full spectrum directly,and obtained with the Mel filter. The improved feature extraction al-gorithm based on DWT-MFCC analyzes the wavelet decomposition process and spectrum variation of each sub-band proceeding from filtering to propose a new effective spectrum splicing method. The experimental results show that the feature extraction algo-rithm improved the recognition rate of speaker,and the cutoff characteristic of the filter and recognition rate become better with the increase of dbN length of the wavelet filter.关键词
小波变换/频谱拼接/滤波/子带Key words
wavelet transform/spectrum splicing/filtering/sub-band分类
信息技术与安全科学引用本文复制引用
殷瑞祥,程俊杰..改进的DWT-MFCC特征提取算法[J].现代电子技术,2017,40(9):18-21,4.
