空军工程大学学报（自然科学版）2013，Vol.14Issue(1)：85-89,5.DOI:10.3969/j.issn.1009-3516.2013.01.019
基于小波变换的说话人识别技术
Research on Speaker Recognition Based on Wavelet Transform
摘要
Abstract
Speaker recognition is a kind of biological authentication technology which distinguishes speakers ' identity by matching the voice distilled beforehand. However, the noise circumstance is an obstacle disturbing this technology walking up to practicality. Concerning the shortcoming of poor speaker recognition performance in noisy environments and combining the advantages of wavelet transform, a method of combining the wavelet transform technology with the traditional characteristic parameter extraction mode is proposed. In this method, the speech signal is decomposed by the wavelet, and then wavelet coefficients are processed by threshold. Only the data above the threshold are retained. The traditional characteristic parameters of little correlation are extracted to use as the input vector of the speaker recognition system. The simulation results indicate that the use of the method can better identify the speaker. A higher recognition rate can be obtained through the wavelet transform first and then the extraction of characteristic parameters. The application of this method greatly improves the performance of the speaker recognition system.关键词
说话人识别/动态时间规整/矢量量化/小波变换/组合特征Key words
speaker recognition/ dynamic time warping/ vector quantization/ wavelet transform/ feature combination分类
信息技术与安全科学引用本文复制引用
檀蕊莲,柏鹏,李哲,姚战宏,栾前进..基于小波变换的说话人识别技术[J].空军工程大学学报（自然科学版）,2013,14(1):85-89,5.基金项目
国家自然科学基金资助项目(61174194) （61174194）
