Phonetics and Speech Sciences (말소리와 음성과학)

Korean Society of Speech Sciences (한국음성학회)
권호 표지
DOI QR코드

DOI QR Code

Music Recognition Using Audio Fingerprint: A Survey

오디오 Fingerprint를 이용한 음악인식 연구 동향

  • Received : 2012.01.25
  • Accepted : 2012.03.22
  • Published : 2012.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

Interest in music recognition has been growing dramatically after NHN and Daum released their mobile applications for music recognition in 2010. Methods in music recognition based on audio analysis fall into two categories: music recognition using audio fingerprint and Query-by-Singing/Humming (QBSH). While music recognition using audio fingerprint receives music as its input, QBSH involves taking a user-hummed melody. In this paper, research trends are described for music recognition using audio fingerprint, focusing on two methods: one based on fingerprint generation using energy difference between consecutive bands and the other based on hash key generation between peak points. Details presented in the representative papers of each method are introduced.

Keywords

References

  1. Gracenote Inc. (1999). CDDB, World's Largest Online CD Music Database, Debuts New Web Site, http://www. gracenote.com/company_info/press/1999/199904270.
  2. Fong, C. (2008). Tracking the Internet of Music, http://www.cnn.com/2008/TECH/11/16/digitalbiz.musicid/inde x.html?iref=allsearch.
  3. Seo, G. (2002). U.S. DEMO Mobile Conference: Breaking IT Recession Mobile Communication Technology Draws Attention, http://www.etnews.com/news/detail.html?id=200209 290035. (서기선. (2002). 美 데모모바일 전시회 IT불황 날려버릴 이 통 기술 관심 집중, http://www.etnews.com/news/detail.html?i d=200209290035.)
  4. Shazam Entertainment Ltd. (2008). Shazam Announces Application for iPhone, http://www.shazam.com/music/web/pre ssrelease.html?nid=NEWS20080710151044.
  5. Gracenote Inc. (2008). Gracenote and MetroLyrics Extend Authorized Lyrics Service to Mobile Devices and iPhone Applications, http://www.gracenote.com/company_info/pres/11 /12/2008.
  6. SoundHound Inc. (2010). SoundHound Launches Free Music Search and Discovery App for iPhone, iPod touch & iPad. http://www.soundhound.com/index.php?action=s.press_release& pr=14.
  7. Lee, H. (2011). What is this Song? Daum Launches Mobile Music Recognition. http://bntnews.hankyung.com/apps/news? popup=0&&nid=05&c1=05&c2=05&c3=00&nkey=2011010820 31223&mode=sub_view. (이현아. (2011). 이 노래 뭘까? 다음, 모바일 음악검색 서비스 오픈. http://bntnews.hankyung.com/apps/news?popup=0&nid=05 &c2=05&c3=00&nkey=201101082031223&mode=sub_view.)
  8. Lee, Y. (2011). Building Music Feature Database for People Who Forgot the Music Title, Search Within 10 Seconds. http://biz.chosun.com/site/data/html_dir/2011/07/15/20110715 01138.html. (이윤식. (2011). 노래 제목 깜빡한 분을 위해 곡의 특징 DB 화, 10초면 찾아내. http://biz.chosun.com/site/data/html_dir/ 2011/07/15/2011071501138.html.)
  9. Casey, M., Veltkamp, R., Goto, M., Leman, M., Rhodes, C. and Slaney, M. (2008). Content-Based Music Information Retrieval: Current Directions and Future Challenges, Proceedings of the IEEE, Vol. 96, No. 4, 668-696. https://doi.org/10.1109/JPROC.2008.916370
  10. Gracenote Inc. (2005). Gracenote News, http://www. gracenote.com/company_info/press/2005/2005083000.
  11. Haitsma, J., Kalker, A., Baggen, C. and Oostveen, J. (2002). Generating and Matching Hashes of Multimedia Content, United States Patent Application, US 2002/0178410 A1.
  12. Haitsma, J. & Kalker. T. (2002). A Highly Robust Audio Fingerprinting System, Proceedings of International Symposium on Music Information Retrieval (ISMIR), 144-148.
  13. Haitsma, J., Kalker, T. and Oostveen, J. (2001). Robust Audio Hashing for Content Identification, Proceedings of Content-Based Multimedia Indexing, 19-21.
  14. Wang, A. (2006). The Shazam Music Recognition Service, Com. ACM, Vol. 49, No. 8, 44-48. https://doi.org/10.1145/1125944.1125973
  15. Wang, A. (2003). An Industrial Strength Audio Search Algorithm, Proceedings of International Symposium on Music Information Retrieval (ISMIR), 7-13.
  16. Wang, A. & Smith, J. (2002). Method for Search in an Audio Database, WIPO publication, WO 02/11123A.

Cited by

  1. Detecting a Relay Attack with a Background Noise vol.23, pp.4, 2013, https://doi.org/10.13089/JKIISC.2013.23.4.617