电子器件Issue(6)：1151-1154,4.DOI:10.3969/j.issn.1005-9490.2014.06.029
基于ARM的说话人识别系统的研究与实现∗
Speaker Recognition Based on ARM
孙干超 1王吉林1
作者信息
- 1. 盐城工学院信息工程学院，江苏 盐城224051
- 折叠
摘要
Abstract
To improve the rates of speaker recognition,a method based on the compressed sensing( CS) is proposed. First,the frame of compressed sensing theory is introduced to analyzing the premise of combining the compressed sensing theory with the speaker recognition. Then the major algorithm of speaker recognition based on compressed sensing is advanced, that is the establishment of speakers’ characteristic database and matrix trace to obtain the maximum average coefficients matching. Oceans of experimental data indicate that this method has strong recognition ability and the performance is good when the collection of speakers is huge.关键词
压缩感知/说话人识别/基追踪/高斯混合模型Key words
compressed sensing/speaker recognition/matrix trace/Gaussian mixture model分类
信息技术与安全科学引用本文复制引用
孙干超,王吉林..基于ARM的说话人识别系统的研究与实现∗[J].电子器件,2014,(6):1151-1154,4.
