2001 · 179 citations · 9 references
Natural SciencesMusicologyAcousticsMusic AnalysisPsychoacousticsAcoustic Signal ProcessingDigital Signal ProcessingSignal ProcessingTime-frequency AnalysisAcoustic Feature ExtractionAudio ClassificationAudio Feature ExtractionAutomatic ClassificationBeat ClassificationDiscrete Wavelet TransformMusic Feature ExtractionWavelet Transform
Abstract:- 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 from 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 evaluate the performance of the beat detection algorithm. Key-Words:- audio analysis, wavelets, classification, beat extraction 1
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Content-based classification, search, and retrieval of audio
Erling Wold, Thom Blum, Douglas Keislar et al. · IEEE Multimedia · 1996 · 793 citations