Feature Extraction of Typical Abnormal Sounds in Public Places
Weiguo Gong · Jisuanji gongcheng · 2010
Aiming at the problem that recognition rate is low when using Mel-Frequency Cepstral Coefficient(MFCC) to present the abnormal sounds,this paper proposes an improved feature extraction method to handle the issue,including the analysis of the characteristics of abnormal sounds and the redesign of the filter bank of MFCC.Experimental results conducted on the database of public abnormal sounds show that the method substantially outperforms MFCC feature extraction method in recognition rate and efficiency,and it can be applied in practice.