关键词: 小波变换, 特征提取, 音频分类, 支持向量机

Abstract: Feature extraction is the foundation of audio classification，while audio classification is a key technology of content based audio retrieval.In this paper，discriminating features between speech and music are analyzed，the work on audio feature extraction and classification based on wavelet transform and Support Vector Machine（SVM） is presented.It is used to classify audio into pure speech，music，speech with music and environment sounds.The performance of some new proposed feature is evaluated.The experiments results show that the feature selected are effective for audio classification，and the classification accuracy is good.

Key words: wavelet transform, feature extraction, audio classification, Support Vector Machine（SVM）