| 基于GMM的说话人分类自适应算法 |
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| 引用本文： | 刘鑫,王炳锡.基于GMM的说话人分类自适应算法[J].信息工程大学学报,2001,2(4):35-37. |
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| 作者姓名： | 刘鑫 王炳锡 |
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| 作者单位： | 信息工程大学,信息技术学院,河南,郑州,450002 |
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| 摘 要： | 本文提出了一种基于GMM（Gaussian Mixture Model）的说话人分类算法，主要介绍了GMM模型和具体实现以及基于GMM的说话人分类算法在关键词检测系统中的应用。实验结果证明，该算法计算量小、实现速度快，能够提高系统的识别率，扩大应用人群范围，在中小词汇表识别系统中有关非常广阔的前景。
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| 关 键 词： | GaussianMixtureModel 说话人分类 关键词检测 GMM 自适应算法 语音识别 |
| 文章编号： | 1671-0673(2001)04-0035-03 |
| 修稿时间： | 2001年5月28日 |
A Speaker Clustering Adaptive Algorithm Based on Gaussian Mixture Model |
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| LIU Xing,WANG Bing xi.A Speaker Clustering Adaptive Algorithm Based on Gaussian Mixture Model[J].Journal of Information Engineering University,2001,2(4):35-37. |
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| Authors: | LIU Xing WANG Bing xi |
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| Abstract: | In this paper,a speaker clustering adaptive algorithm based on the Gaussian Mixture Model is provided The Gaussian Mixture Model is described and how to get the GMM parameters is also introduced The speaker clustering adaptive algorithm is applied to the keyword spotting systems The experimental result shows that an average detection rate improvement of 3 2% can be obtained by using the proposed adaptive algorithm with small computation and fast implementation This algorithm can be expected to be applied to a larger group of people and shows a wide prospect of application in small to intermediate range vocabulary recognition systems |
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| Keywords: | Gaussian Mixture Model speaker clustering keyword spotting |
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