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| Robust Feature Based on Speech Harmonic Structure for Speaker Identification |
| Zhang Ling-hua; Zheng Bao-yu; Yang Zhen |
| College of Communication and Information Engineering, Nanjing Univ. of Posts & Telecomms., Nanjing 210003, China |
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Abstract An effective and robust speech feature extraction method based on pitch frequency and harmonic structure is proposed by means of short-time spectrum analysis of clear and noisy speech. Experimental results indicate that the new feature is relatively insensitive to Additive White Gaussian Noise (AWGN). Compared to conventional cepstrums, the new feature can give outstanding improvement for closed-set text-independent speaker identification under noisy environments corrupted by AWGN.
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Received: 21 February 2005
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2006, Vol. 28 
