Automatic Music Transcription Supporting Different Instruments

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Third International Conference on WEB Delivering of Music (WEDELMUSIC'03)

Leeds, United Kingdom

September 15-September 17

ISBN: 0-7695-1935-0

	ASCII Text	x
	I. Bruno, S. L. Monni, P. Nesi, "Automatic Music Transcription Supporting Different Instruments," Web Delivering of Music, International Conference on, pp. 37, Third International Conference on WEB Delivering of Music (WEDELMUSIC'03), 2003.

	BibTex	x
	@article{ 10.1109/WDM.2003.1233871, author = {I. Bruno and S. L. Monni and P. Nesi}, title = {Automatic Music Transcription Supporting Different Instruments}, journal ={Web Delivering of Music, International Conference on}, volume = {0}, year = {2003}, isbn = {0-7695-1935-0}, pages = {37}, doi = {http://doi.ieeecomputersociety.org/10.1109/WDM.2003.1233871}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Web Delivering of Music, International Conference on TI - Automatic Music Transcription Supporting Different Instruments SN - 0-7695-1935-0 SP EP A1 - I. Bruno, A1 - S. L. Monni, A1 - P. Nesi, PY - 2003 KW - beat tracking KW - pitch recognition KW - audio processing KW - automatic music recognition VL - 0 JA - Web Delivering of Music, International Conference on ER -

I. Bruno, University of Florence

S. L. Monni, University of Cagliari

P. Nesi, University of Florence

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WDM.2003.1233871

The automatic music recognition from an audio performance is a key problem and a challenge for coding music in western music notation in the digital world. This problem has been addressed in several manners and suitable results obtained when a single and specific instrument and monophonic music are processed. The development of a system for the automatic music transcription being able to recognise and cope with different music instruments is the aim of this paper. Experimental results have shown that for monophonic pieces the recognition is quite viable, while for polyphonic pieces several problems still exist.

Index Terms:

beat tracking, pitch recognition, audio processing, automatic music recognition

Citation:

I. Bruno, S. L. Monni, P. Nesi, "Automatic Music Transcription Supporting Different Instruments," wedelmusic, pp.37, Third International Conference on WEB Delivering of Music (WEDELMUSIC'03), 2003

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