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Proceedings Paper

Cover song identification by sequence alignment algorithms
Author(s): Chih-Li Wang; Qian Zhong; Szu-Ying Wang; Vwani Roychowdhury
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Paper Abstract

Content-based music analysis has drawn much attention due to the rapidly growing digital music market. This paper describes a method that can be used to effectively identify cover songs. A cover song is a song that preserves only the crucial melody of its reference song but different in some other acoustic properties. Hence, the beat/chroma-synchronous chromagram, which is insensitive to the variation of the timber or rhythm of songs but sensitive to the melody, is chosen. The key transposition is achieved by cyclically shifting the chromatic domain of the chromagram. By using the Hidden Markov Model (HMM) to obtain the time sequences of songs, the system is made even more robust. Similar structure or length between the cover songs and its reference are not necessary by the Smith-Waterman Alignment Algorithm.

Paper Details

Date Published: 1 October 2011
PDF: 7 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82855M (1 October 2011); doi: 10.1117/12.913429
Show Author Affiliations
Chih-Li Wang, Univ. of California, Los Angeles (United States)
Qian Zhong, Univ. of California, Los Angeles (United States)
Szu-Ying Wang, NHCUE (Taiwan)
Vwani Roychowdhury, Univ. of California, Los Angeles (United States)


Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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