Writings

Note that I use ‘Iman S H Suyoto’ in my written works.

Journals

  1. I S H Suyoto, A L Uitdenbogerd, and F Scholer.
    Searching musical audio using symbolic queries.
    IEEE Transactions on Audio, Speech and Language Processing 16(2), pages 372–381.
    Piscataway, New Jersey, IEEE, February 2008.
    [Full text]
  2. A L Uitdenbogerd and I S H Suyoto.
    Microtonal matching with MTRI.
    Computing in Musicology 14, pages 171–180.
    Cambridge, Massachusets, MIT Press, August 2006.

Refereed conference proceedings

  1. I S H Suyoto and A L Uitdenbogerd.
    The effect of using pitch and duration for symbolic music retrieval.
    In R McArthur, P Thomas, A Turpin, and M Wu, editors, Proceedings of the Thirteenth Australasian Document Computing Symposium, pages 41–48.
    Melbourne, Australia, RMIT University, December 2008.
    [Full text] This paper won the Best Paper Award at the symposium.
  2. I S H Suyoto, A L Uitdenbogerd, and F Scholer.
    Effective retrieval of polyphonic audio with polyphonic symbolic queries.
    In J Z Wang, N Boujemaa, A Del Bimbo, and J Li, editors, Proceedings of the 9th ACM SIGMM International Workshop on Multimedia Information Retrieval, pages 105–114.
    Augsburg, Germany, ACM, September 2007.
    [Full text]
  3. I S H Suyoto.
    Long-term structure for musical audio and symbol alignment.
    In Proceedings of HCSNet SummerFest ’06 Speed Papers.
    Sydney, Australia, November 2006.
  4. I S H Suyoto and A L Uitdenbogerd.
    Effectiveness of note duration information for music retrieval.
    In L Zhou, B C Ooi, and X Meng, editors, Proceedings of the 10th International Conference on Database Systems for Advanced Applications, pages 265–275.
    Berlin, Germany, Springer, April 2005
    [Full text]
  5. I S H Suyoto and A L Uitdenbogerd.
    Exploring microtonal matching.
    In C L Buyoli and R Loureiro, editors, Proceedings of the 5th International Conference on Music Information Retrieval, pages 224–231.
    Barcelona, Spain, Universitat Pompeu Fabra, October 2004.
    [Full text]

Non-refereed conference proceedings

  1. I S H Suyoto and A L Uitdenbogerd.
    Simple orthogonal pitch with IOI symbolic music matching.
    In The Sixth Annual Music Information Retrieval Evaluation eXchange, 2010.
  2. A L Uitdenbogerd, F Scholer, I S H Suyoto, P Somerville, D K Kumar, and V Ciesielski.
    RMIT MIRT Research Group Report 2009.
    In The 10th International Society for Music Information Retrieval Conference, October 2009.
    [Full text]
  3. I S H Suyoto and A L Uitdenbogerd.
    Simple efficient n-gram indexing for effective melody retrieval.
    In The First Annual Music Information Retrieval Evaluation eXchange, September 2005.
    [Full text]

Conference tutorials

  1. I S H Suyoto.
    Telling computers to find the right music: An introduction to music information retrieval.
    In G Abraham and B I P Rubinstein, editors, Proceedings of the Second Australian Undergraduate Students’ Computing Conference, page 173.
    Melbourne, Australia, Australian Undergraduate Students’ Computing Conference, December 2004.
    [Abstract]

Books

  1. A Kent, D H O’Dell, A Chase, J Rosa, S Abraham, I S H Suyoto, and K Apshankar.
    Professional PHP4 Multimedia Programming.
    Wrox, 2002.

Technical reports

  1. I S H Suyoto and A L Uitdenbogerd.
    Longest common subsequence techniques for aligning audio and symbolic music: A case study in Western classical music.
    Melbourne, Australia, School of Computer Science and Information Technology, RMIT University, May 2007. TR-07-2
  2. I S H Suyoto and A L Uitdenbogerd.
    Aligning musical audio with symbols: A case study in Western classical music.
    Melbourne, Australia, School of Computer Science and Information Technology, RMIT University, March 2007. TR-07-1

Theses

  1. I S H Suyoto.
    Cross-Domain Content-Based Retrieval of Audio Music through Transcription.
    Melbourne, Australia, School of Computer Science and Information Technology, RMIT University, 2008.
    [Full text] PhD thesis. Submitted in 2008, passed in 2009.
  2. I S H Suyoto.
    Microtonal Music Information Retrieval.
    Melbourne, Australia, School of Computer Science and Information Technology, RMIT University, 2003.
    Master’s thesis. Submitted in 2003, passed in 2004.
  3. I S H Suyoto.
    Identification of Crystal System: Computational Method and Implementation Using Java 2 Platform.
    Depok, Indonesia, Jurusan Fisika, Universitas Indonesia, 2001.
    Sarjana Sains thesis.