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Audio classification is very important in audio indexing, analysis and content-based video retrieval. In this paper, we have proposed a clip-based support vector machine (SVM) approach to classify audio signals into six classes, which are pure speech, music, silence, environmental sound, speech with music and speech with environmental sound. The classification results are then used to partition a...
This paper describes a new spectral analysis tool, the bounded-Q fast filter bank (BQFFB), which consists of a high selectivity filter bank with a piecewise linear spacing between its channels. This approximately geometric representation yields relatively low computational cost and a suitable frequency resolution, thus making the BQFFB an efficient tool for musical analysis applications. A description...
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