Tempo Extraction using Beat Histograms
نویسنده
چکیده
This abstract describes the tempo extraction algorithm used for the University of Victoria submission to the MIREX (Music Information Retrieval Exchange) 2005. The algorithm is mostly based on self-similarity rather than onset detection. However, an onset detection component is used to calculate the phase of the dominant periodicities. Multiple frequency bands are calculated using a Discrete Wavelet Transform. Subsequently the envelope of each band is extracted and autocorrelation is used to find the dominant periodicities of the audio signal. These dominant periodicities are accumulated into a Beat Histogram which is used to detect the primary and secondary tempo and their relative strength.
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تاریخ انتشار 2005