• Query By Humming
    • Asif Ghias, Jonathan Logan, David Chamberlin and Brian C. Smith, Query By Humming – Musical Information Retrieval in an Audio Database, ACM Multimedia ’95 – Electronic Proceedings, San Francisco, CA, Nov. 1995.
    • Rodger J. McNab, Lloyd A. Smith, Ian H. Witten, Clare L. Henderson and Sally Jo Cunningham, Towards the Digital Music Library: Tune Retrieval from Acoustic Input, DL ’96, Bethesda MD USA.
    • R.J. McNab, L. Smith, I.H. Witten, C.L. Henderson, "Tune Retrieval in the Multimedia Library," Multimedia Tools and Applications, vol.10, pp.113~132, 2000.
    • Goffredo Haus and Emanuele Pollastri, An Audio Front End for Query-by-Humming Systems, 2nd International Symposium on Music Information Retrieval, ISMIR2001, Indiana, USA, Oct 2001, pp 65-72.
    • Naoko Kosugi, Yuichi Nishihara, Tetsuo Sakata, Masahi Yamamuro and Kazuhiko Kushima, A Practical Query-By-Humming System for a Large Music Database, ACMMultimedia 2000, Los Angeles, CA., Nov. 2000.
    • Lutz Prechelt and Rainer Typke, An Interface for Melody Input, ACM Transactions on Computer-Human Interaction,Vol. 8, No.2, June 2001, pp 133-149.
    • Pierre-Yves Rolland, Gailius Raskinis and Jean-Gabriel Ganascia, Musical Content-Based Retrieval: An Overview of the Melodiscov Approach and System, ACM Multimedia ’99, Orlando, FL, USA.2001, pp 31-32.
    • Sonoda T., Goto M., Muraoka Y. A WWW-based Melody Retrieval System (1998). Procs ICMC 1998, 349-352.
    • Feng, Y., Y. Zhuang, and Y. Pan. 2002.Popular Music Retrieval by Independent Component Analysis. ISMIR 2002.281-2.
    • Feng, Y.Z., Zhuang, Y.T. and Pan, Y.H. Query Similar Music by Correlation Degree. In Proceedings of IEEE PCM, 2001, pp.885-890.
    • Pollastri, E. 2002. Some Considerations About Processing
      Singing Voice for Music Retrieval. ISMIR 285-6.
    • Haus, G. and Pollastri, E. A multimodal framework for music
      inputs. In Proc. of ACM Multimedia 2000, Los Angeles, CA,
      Usa, Nov. 2000.
    • Pollastri, E. A pitch tracking system dedicated to process singing voice for music retrieval. To appear in Proc. of IEEE. International Conf. on Multimedia and Expo 2002, Lausanne, Switzerland, Aug. 2002.
    • Melucci, M. and Orio, N. Musical Information Retrieval using Melodic Surface. Proc Conf. Digital Libraries 1999, Berkeley, CA.
  • Polyphonic
    • Monophonic query on polyphonic music (Doraisamy, Rüger ISMIR2002)
    • Doraisamy, S. and Stefan Rüger, An Approach Towards A Polyphonic Music Retrieval System, 2nd International Symposium on Music Information Retrieval, ISMIR2001, Indiana, USA, Oct 2001, 187-193.
    • Song, J., S. Y. Bae, and K. Yoon. Mid-level music melody representation of polyphonic audio for query-by-humming system.ISMIR 2002. 133-9.
    • Pickens, J., J. P. Bello, G. Monti, T. Crawford, M. Dovey, M. Sandler, D. Byrd. 2002. Polyphonic Score Retrieval Using Polyphonic Audio Queries: A Harmonic Modeling Approach. ISMIR 2002. 140-9.
    • Wiggins, G., K. Lemström, and D. Meredith. 2002. SIA(M)ESE: An Algorithm for Transposition Invariant, Polyphonic Content-Based Music Retrieval. ISMIR 283-4.
  • Title
    • Neuschmied H., Mayer H. and Battle E., “Identification of Audio Titles on the Internet”, Proceedings of International Conference on Web Delivering of Music 2001.
    • Pachet, F. G. Westermann, D. Laigre. Musical data mining for electronic music distribution.
  • Content-Based Retrieval
    • C. Yang
    • J. Foote
    • MuscleFish: Wold, et al.

Created: 2003.01.15 Modified: Ichiro Fujinaga
McGill Crest