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  2012, Vol. 25 Issue (1): 166-171    DOI:
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A Robust Feature Parameter Extraction Algorithm for Language Identification
HUANG Shan-Qi, ZHANG Ling-Hai, QU Dan
Institute of Information Engineering,Information Engineering University of PLA,Zhengzhou 450002

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Abstract  In current language identification system, the commonly used feature parameters have not made the best use of auditory characteristics and have weak robustness in complex environments. An auditory-based robust feature extraction algorithm is proposed. Each sub-band energy of the extracted auditory features is calculated by using a Gammachirp filter bank instead of the commonly used triangle filter bank. The compensation filter using data-driven analysis for each sub-band output is obtained by a constrained optimization process which jointly minimizes the environmental distortion as well as the distortion caused by the filter itself. Experimental results show that the feature outperforms the Mel-frequency cepstral coefficient widely used in noisy environments.
Key wordsAudio Percetion      Compensation Filter      Robust      Language Identification     
Received: 25 October 2010     
ZTFLH: TN912.3  
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HUANG Shan-Qi
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QU Dan
Cite this article:   
HUANG Shan-Qi,ZHANG Ling-Hai,QU Dan. A Robust Feature Parameter Extraction Algorithm for Language Identification[J]. , 2012, 25(1): 166-171.
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http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2012/V25/I1/166
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