The Discrete Wavelet Transform (DWT) is a transformation that can be used to analyze the

temporal and spectral properties of non-stationary signals like audio. In this paper we describe some

applications of the DWT to the problem of extracting information non-speech audio. More specifically

automatic classification of various types of audio using the DWT is described and compared with other

traditional feature extractors proposed in the literature. In addition, a technique for detecting the beat attributes

of music is presented. Both synthetic and real world stimuli were used to uate the performance of the beat

detection algorithm.-The Discrete Wavelet Transform (DWT) is a transformation that can be used to analyze the

temporal and spectral properties of non-stationary signals like audio. In this paper we describe some

applications of the DWT to the problem of extracting information　non-speech audio. More specifically

automatic classification of various types of audio using the DWT is described and compared with other

traditional feature extractors proposed in the literature. In addition, a technique for detecting the beat attributes

of music is presented. Both synthetic and real world stimuli were used to　uate the performance of the beat

detection algorithm.