关键词: 多频带减谱法, 生态环境声音分类, Mel频率倒谱系数, 支持向量机

Abstract: Mel frequency cepstrum coefficients, motivated by human auditory, are widely used for sound recognition, while in the ecological environment the presence of the noise causes its recognition rate to drop quickly. This paper presents a method for the classification of natural sounds in noise environment. Multi-band spectral subtraction method is proposed to reduce the noise for extracting MFCC, which effectively weakens audio noise disturbance. In addition, it introduces SVM classification model to classify the sound with noise owing to its better noise immunity and robustness. Experimental results show that this method can be used to classify ecological environmental sounds accurately.

Key words: multi-band spectral subtraction, eco-environment sounds classification, Mel frequency cepstrum coefficients, Support Vector Machine（SVM）