Indexing musical pieces using their major repetition

With the growing presence of large collections of musical content, methods for facilitating efficient browsing and fast comparisons of audio pieces become more and more useful. Notably, methods that isolate relevant parts in audio pieces give an insight of the musical content and can be used to improve similarity evaluation systems. In this context, we propose an indexing method that allows retrieving in audio signals particular parts, namely a major repetition. We use harmonic representations together with string matching techniques to strictly define and isolate such segments. Experiments on state-of-the-art structural datasets show a strong correlation between the retrieved parts and the perceived structure of pieces.

[1]  M S Waterman,et al.  Identification of common molecular subsequences. , 1981, Journal of molecular biology.

[2]  Mark B. Sandler,et al.  Structural Segmentation of Musical Audio by Constrained Clustering , 2008, IEEE Transactions on Audio, Speech, and Language Processing.

[3]  Alicja Wieczorkowska,et al.  Music Information Retrieval , 2009, Encyclopedia of Data Warehousing and Mining.

[4]  Hanna M. Lukashevich Towards Quantitative Measures of Evaluating Song Segmentation , 2008, ISMIR.

[5]  Gregory H. Wakefield,et al.  Audio thumbnailing of popular music using chroma-based representations , 2005, IEEE Transactions on Multimedia.

[6]  Xavier Serra,et al.  Chroma Binary Similarity and Local Alignment Applied to Cover Song Identification , 2008, IEEE Transactions on Audio, Speech, and Language Processing.

[7]  Thomas Swiss,et al.  Key terms in popular music and culture. , 1999 .

[8]  Christus,et al.  A General Method Applicable to the Search for Similarities in the Amino Acid Sequence of Two Proteins , 2022 .

[9]  Meinard Müller,et al.  Information retrieval for music and motion , 2007 .

[10]  Matthew Cooper,et al.  Summarizing popular music via structural similarity analysis , 2003, 2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (IEEE Cat. No.03TH8684).

[11]  Barry Vercoe,et al.  Automated analysis of musical structure , 2005 .

[12]  Masataka Goto,et al.  A chorus-section detecting method for musical audio signals , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[13]  Sampath Kannan,et al.  An Algorithm for Locating Non-Overlapping Regions of Maximum Alignment Score , 1993, CPM.

[14]  Meinard Müller,et al.  Audio-based Music Structure Analysis , 2010 .