| 基于梅尔频率倒谱系数与翻转梅尔频率倒谱系数的说话人识别方法 |
| |
| 引用本文： | 胡峰松,张璇.基于梅尔频率倒谱系数与翻转梅尔频率倒谱系数的说话人识别方法[J].计算机应用,2012,32(9):2542-2544. |
| |
| 作者姓名： | 胡峰松 张璇 |
| |
| 作者单位： | 湖南大学 信息科学与工程学院,长沙 410082 |
| |
| 摘 要： | 为提高说话人识别系统的识别率,提出了基于梅尔频率倒谱系数(MFCC)与翻转梅尔频率倒谱系数(IMFCC)为特征参数的特征提取新方法。该方法利用Fisher准则将MFCC和IMFCC相结合,构造了一种混合特征参数。实验结果表明,新的混合特征参数与MFCC相比,在纯净语音库及噪声环境中均具有较好的识别性能。
|
| 关 键 词： | 说话人识别 梅尔频率倒谱系数 翻转梅尔频率倒谱系数 Fisher准则 高斯混合模型 |
| 收稿时间： | 2012-03-13 |
| 修稿时间： | 2012-06-04 |
Speaker recognition method based on Mel frequency cepstrum coefficient and inverted Mel frequency cepstrum coefficient |
| |
| HU Feng-song,ZHANG Xuan.Speaker recognition method based on Mel frequency cepstrum coefficient and inverted Mel frequency cepstrum coefficient[J].journal of Computer Applications,2012,32(9):2542-2544. |
| |
| Authors: | HU Feng-song ZHANG Xuan |
| |
| Affiliation: | College of Information Science and Engineering,Hunan University,Changsha Hunan 410082,China |
| |
| Abstract: | To improve the performance of speaker recognition system,a new method of feature extraction was proposed based on Mel Frequency Cepstrum Coefficient(MFCC) and Inverted MFCC(IMFCC).This method constructed a mixed feature by combining MFCC with IMFCC using Fisher criterion.The experimental results show that the mixed feature proposed in this paper has better recognition performance compared with MFCC not only in the pure voice database but also in the noisy environments. |
| |
| Keywords: | speaker recognition Mel Frequency Cepstrum Coefficient(MFCC) Inverted MFCC(IMFCC) Fisher criterion Gaussian Mixture Model(GMM) |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《计算机应用》浏览原始摘要信息 |
|
点击此处可从《计算机应用》下载全文 |
