Cover song identification by sequence alignment algorithms

Chih-Li Wang; Qian Zhong; Szu-Ying Wang; Vwani Roychowdhury

doi:10.1117/12.913429

1 October 2011 Cover song identification by sequence alignment algorithms

Chih-Li Wang, Qian Zhong, Szu-Ying Wang, Vwani Roychowdhury

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82855M (2011) https://doi.org/10.1117/12.913429
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

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.

Citation Download Citation

Chih-Li Wang, Qian Zhong, Szu-Ying Wang, and Vwani Roychowdhury "Cover song identification by sequence alignment algorithms", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82855M (1 October 2011); https://doi.org/10.1117/12.913429

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