Abstract
This present paper propose a method for analyzing a music structure using autocorrelation coefficients computed in the encoding step of TwinVQ audio compression. We phrase the autocorrelation sequence into subsequences by using the extracted musical unit, and then classify the subsequences and assign a label to a class. From a sequence of labels, we extract subsequences of longest match to analyze structure of a piece of music. To evaluate performance of our method, we compare the extracted subsequences by our method with that by hand. The experimental results indicates that our method has a good performance for analyzing structure of a piece of music.
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Kobayakawa, M., Hoshi, M. (2010). A Method for Music Structure Analysis Using MPEG-4 TwinVQ Audio Compression. In: Qiu, G., Lam, K.M., Kiya, H., Xue, XY., Kuo, CC.J., Lew, M.S. (eds) Advances in Multimedia Information Processing - PCM 2010. PCM 2010. Lecture Notes in Computer Science, vol 6297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15702-8_10
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DOI: https://doi.org/10.1007/978-3-642-15702-8_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15701-1
Online ISBN: 978-3-642-15702-8
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