| 基于支持向量机和小波分析的说话人识别 |
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| 引用本文： | 张振领,徐东平,贾仰理. 基于支持向量机和小波分析的说话人识别[J]. 计算机工程与设计, 2007, 28(21): 5201-5202,5224 |
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| 作者姓名： | 张振领 徐东平 贾仰理 |
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| 作者单位： | 聊城大学,计算机学院,山东,聊城,252059;武汉理工大学,计算机科学与技术学院,湖北,武汉,430063;武汉理工大学,计算机科学与技术学院,湖北,武汉,430063;北京航空航天大学,计算机学院,北京,100083 |
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| 摘 要： | 为解决说话人识别问题,提出了一种基于支持向量机和小波分析的识别方法以及其框架模型,即将小波分析应用于信号预处理,并以此为基础,利用其奇异点检测原理将语音信号和噪声分离,实现语音增强,最终基于样本进行训练和测试,采用SVM实现说话人的分类识别.
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| 关 键 词： | 说话人识别 小波分析 支持向量机 人工智能 机器学习 |
| 文章编号： | 1000-7024（2007）21-5201-02 |
| 修稿时间： | 2006-11-01 |
Speaker recognition based on support vector machine and multiscale wavelet analysis |
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| ZHANG Zhen-ling,XU Dong-ping,JIA Yang-li. Speaker recognition based on support vector machine and multiscale wavelet analysis[J]. Computer Engineering and Design, 2007, 28(21): 5201-5202,5224 |
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| Authors: | ZHANG Zhen-ling XU Dong-ping JIA Yang-li |
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| Affiliation: | 1.College of Computer Science, Liaocheng University, Liaocheng 252059, China; 2. College of Computer Science and Technology, Wuhan University of Technology, Wuhan 430063, China; 3. College of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China |
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| Abstract: | There are important theoretic value and far-reaching practical meaning to resolve the question of speaker recognition.A reco gnition method based on support vector and multiscale wavelet analysis is proposed in allusion to this question,and its frame model is constructed.In the flame model,multiscale wavelet analysis is applied to the process of signal pretreatment,based on it,using the theory of singular point check to separate the speech and noise,and enhance the speech consequently.Ultimately using SVM to realize the speaker classification and recognition by training and testing based on swatches. |
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| Keywords: | speaker recognition multiscale wavelet analysis support vector machine (SVM) artificial intelligence machine learning |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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