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An investigation of chroma n-gram selection for cover song search

커버곡 검색을 위한 크로마 n-gram 선택에 관한 연구

Jin Soo Seo1*
,
Junghyun Kim2
,
Jihyun Park2
서 진수1*
,
김 정현2
,
박 지현2
1Department of Electronic Engineering Gangneung-Wonju National University
1강릉원주대학교 전자공학과
2한국전자통신연구원 콘텐츠 연구본부
*교신저자. *Corresponding Author. 
30 November 2017. pp. 436-441
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Abstract

Computing music similarity is indispensable in constructing music retrieval system. This paper focuses on the cover song search among various music-retrieval tasks. We investigate the cover song search method based on the chroma n-gram to reduce storage for feature DB and enhance search accuracy. Specifically we propose t-tab n-gram, n-gram selection method, and n-gram set comparison method. Experiments on the widely used music dataset confirmed that the proposed method improves cover song search accuracy as well as reduces feature storage.

Keywords
Music retrieval
Music similarity
Chroma feature
Cover song identification
n-gram

음악 유사도 계산은 음악 검색 시스템 구현에 있어서 필수적인 구성 요소이다. 본 논문은 음악 검색 중에서 커버곡 검색에 대해서 다룬다. 크로마 n-gram을 이용한 커버곡 검색에 있어서 특징 DB 저장 공간을 줄이고 성능을 향상시키기 위해서 t-tab n-gram을 제안하고, n-gram 선택 방법, n-gram 집합 간 비교 방법에 관해서 연구하였다. 공개되어 있는 커버곡 데이터셋에서 실험을 수행하여 제안된 방법이 저장 공간을 줄이면서 동시에 커버곡 검색 성능을 향상시킬 수 있음을 보였다.

키워드
음악 검색
음악 유사도
크로마 특징
커버곡 판별
n-gram
References
1
M. A. Casey, R. Veltkamp, M. Goto, M. Leman, C. Rhodes, and M. Slaney, “Content-based music information retrieval: Current directions and future challenges,” Proceedings of the IEEE 96, 668-696 (2008).
2
J. Lee and H. Kim, “Audio fingerprinting using a robust hash function based on the MCLT peak-pair” (in Korean), J. Acoust. Soc. Kr. 34, 157-162 (2015).
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J. Seo, J. Kim, and J. Park, “Centroid-model based music similarity with alpha divergence” (in Korean), J. Acoust. Soc. Kr. 35, 83-91 (2016).
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J. Serra, E. Gomez, P. Herrera, and X. Serra, “Chroma binary similarity and local alignment applied to cover song identification,” IEEE Trans. Audio Speech Lang Process. 16, 1138-1151 (2008).
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M. Muller and S. Ewert, “Towards timbre-invariant audio features for harmony-based music,” IEEE Trans. Audio Speech Lang Process. 18, 649-662 (2010).
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M. Muller and S. Ewert, “Chroma Toolbox: MATLAB implementations for extracting variants of chroma-based audio features,” Proc. ISMIR-2011, 215-220 (2011).
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M. Casey, C. Rhodes, and M. Slaney, “Analysis of minimum distances in high-dimensional musical spaces,” IEEE Trans. Audio Speech Lang Process. 16, 1015-1028 (2008).
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P. Grosche and M. Muller, “Toward characteristic audio shingles for efficient cross-version music retrieval,” Proc. ICASSP-2012, 473-476 (2012).
9
The covers80 cover song data set, available, https://labrosa.ee.columbia.edu/projects/coversongs/covers80/, 2007
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D. Ellis and C. Cotton, “The 2007 LabROSA cover song detection system,” in MIREX extended abstract  2007, (2007).
Information
  • Publisher :The Acoustical Society of Korea
  • Publisher(Ko) :한국음향학회
  • Journal Title :The Journal of the Acoustical Society of Korea
  • Journal Title(Ko) :한국음향학회지
  • Volume : 36
  • No :6
  • Pages :436-441
  • Received Date : 2017-09-01
  • Accepted Date : 2017-11-29
  • DOI :https://doi.org/10.7776/ASK.2017.36.6.436
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