中文

Journal of Applied Sciences ›› 2011, Vol. 29 ›› Issue (1): 51-55.doi: 10.3969/j.issn.0255-8297.2011.01.009

• Signal and Information Processing • Previous Articles     Next Articles

Cepstrum Coefficient Based on Human Auditory Model with Application to Recognition of Acoustic Targets

LIU Hui1;2, YANG Jun-an1;2, ZHOU Zhi-zeng3   

  1. 1. Department of Information Engineering, Electronic Engineering Institute of PLA, Hefei 230037, China
    2. Key Laboratory of Electronic Restriction of Anhui Provnice, Hefei 230037, China
    3. The Army 63889 Unit, Mengzhou 454750，Henan Province, China
  • Received:2010-08-14 Revised:2010-11-17 Online:2011-01-26 Published:2011-01-25

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Abstract:

 This paper proposes a cepstrum coefficient model to overcome deficiency in the classic Mel-frequency cepstral coefficients (MFCC). Based on the human auditory model, two improvements are made in computing the new cepstrum features for acoustic target recognition. First, by allowing variable time-frequency resolution and to be immune to noise, wavelet packet transform (WPT) is used instead of FFT in the computation of classic MFCC. This overcomes deficiency of single resolution and reduces sensitivity to complicated battlefield environments. Second, based on the human auditory model, compression with the exponential-law is used instead of the fixed logarithm amplitude spectrum used in the classic MFCC. Experimental results show that the new algorithm can achieve significant advancement over the former method in accuracy and robustness.

Key words: acoustic target recognition, MFCC, auditory mode