| Unvoiced/voiced classification and voiced harmonic parameters estimation using the third-order statistics |
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| 作者姓名： | YING Na Communication Engineering College of Hangzhou Dianzi University Hangzhou China ZHAO Xiao-hui DONG Jing Communication Engineering College of Jilin University Changchun China |
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| 作者单位： | YING Na Communication Engineering College of Hangzhou Dianzi University，Hangzhou 310018，China ZHAO Xiao-hui，DONG Jing Communication Engineering College of Jilin University，Changchun 130022，China |
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| 摘 要： | Unvoiced/voiced classification of speech is a challenging problem especially under conditions of low signal-to-noise ratio or the non-white-stationary noise environment. To solve this problem, an algorithm for speech classification, and a technique for the estimation of pairwise magnitude frequency in voiced speech are proposed. By using third order spectrum of speech signal to remove noise, in this algorithm the least spectrum difference to get refined pitch and the max harmonic number is given. And this algorithm utilizes spectral envelope to estimate signal-to-noise ratio of speech harmonics. Speech classification, voicing probability, and harmonic parameters of the voiced frame can be obtained. Simulation results indicate that the proposed algorithm, under complicated background noise, especially Gaussian noise, can effectively classify speech in high accuracy for voicing probability and the voiced parameters.
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| 收稿时间： | 31 March 2006 |
Unvoiced/voiced classification and voiced harmonic parameters estimation using the third-order statistics |
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| YING Na Communication Engineering College of Hangzhou Dianzi University,Hangzhou ,China ZHAO Xiao-hui,DONG Jing Communication Engineering College of Jilin University,Changchun ,China.Unvoiced/voiced classification and voiced harmonic parameters estimation using the third-order statistics[J].The Journal of China Universities of Posts and Telecommunications,2007,14(1):85-89. |
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| Authors: | YING Na ZHAO Xiao-hui DONG Jing |
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| Affiliation: | 1. Communication Engineering College of Hangzhou Dianzi University, Hangzbou 310018, China;2. Communication Engineering College of Jilin University, Changchun 130022, China |
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| Abstract: | Unvoiced/voiced classification of speech is a challenging problem especially under conditions of low signal-to-noise ratio or the non-white-stationary noise environment. To solve this problem, an algorithm for speech classification, and a technique for the estimation of pairwise magnitude frequency in voiced speech are proposed. By using third order spectrum of speech signal to remove noise, in this algorithm the least spectrum difference to get refined pitch and the max harmonic number is given. And this algorithm utilizes spectral envelope to estimate signal-to-noise ratio of speech harmonics. Speech classification, voicing probability, and harmonic parameters of the voiced frame can be obtained. Simulation results indicate that the proposed algorithm, under complicated background noise, especially Gaussian noise, can effectively classify speech in high accuracy for voicing probability and the voiced parameters. |
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| Keywords: | unvoiced/voiced classification harmonic extraction the third-order cumulant sinusoidal speech model |
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