Feature extraction is the foundation of audio classification, while audio classification is a key of content based audio retrieval.
音频特征提取是音频分类的基础，而音频分类又是基于内容的音频检索的关键。
An audio feature extraction method which can improve classification rate by utilizing the class information is proposed in this paper.
提出了一种利用训练数据的类别信息改善分类效果的音频特征提取方法。
By researching on the theory of the signal sudden change token by wavelet, this paper provides the principle and algorithm of audio signal pitch extraction based on wavelet principle.
通过对小波变换表征信号突变原理的研究，给出了基于小波变换的音频信号基频提取的原理和算法。
Audio classification technology is the major technology to solve this problem and it is the basis of audio content extraction.
音频分类技术是解决这一问题的有效方法，是音频内容结构化的基础。
Audio classification technology is the major technology to solve this problem and it is the basis of audio content extraction.
音频分类技术是解决这一问题的有效方法，是音频内容结构化的基础。
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