| 多特征相结合的带噪语音端点检测算法的研究 |
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| 引用本文： | 张君昌,姜菲,刘红. 多特征相结合的带噪语音端点检测算法的研究[J]. 计算机工程与应用, 2009, 45(32): 114-116. DOI: 10.3778/j.issn.1002-8331.2009.32.036 |
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| 作者姓名： | 张君昌 姜菲 刘红 |
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| 作者单位： | 西北工业大学,电子信息学院,西安,710072;西北工业大学,电子信息学院,西安,710072;西北工业大学,电子信息学院,西安,710072 |
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| 摘 要： | 提出了一种抗噪声的端点检测新方法。针对谱熵特征对清音的检测性能以及抗噪声性能较差的缺点,结合对清音检测性能较好的短时过零率特征,以及抗噪声性能良好的美尔倒谱距离特征,实现了基于多种特征相结合的抗噪声的语音端点检测。仿真实验表明,该方法能显著提高端点检测在高噪声环境下的检测性能。
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| 关 键 词： | 高噪声 美尔倒谱距离 谱熵 短时过零率 端点检测 |
| 收稿时间： | 2008-06-17 |
| 修稿时间： | 2008-10-8 |
Study on endpoint detection based on multi-characteristic jointed in noisy environment |
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| ZHANG Jun-chang,JIANG Fei,UU Hong. Study on endpoint detection based on multi-characteristic jointed in noisy environment[J]. Computer Engineering and Applications, 2009, 45(32): 114-116. DOI: 10.3778/j.issn.1002-8331.2009.32.036 |
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| Authors: | ZHANG Jun-chang JIANG Fei UU Hong |
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| Affiliation: | Department of Electronics and Information，Northwestern Polytechnical University，Xi’an 710072，China |
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| Abstract: | This paper proposes a new method of speech endpoint detection in high noisy environment.In order to solve the problem of the less effective detection of surd and the poor anti-noise performance in spectrum entropy characteristic,this paper combines short-time ZCR characteristic which has a better detection of surd with Mel cepstral distance characteristic which has a good anti-noise performance to realize the endpoint detection based on multi-characteristics in high noise environment.The simulation shows that the new method can significantly improve the detection performance in high noise environment. |
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| Keywords: | high noise Mel cepstral distance spectral entropy short-time ZCR endpoint detection |
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