DocumentCode
2097982
Title
Automatic music transcription supporting different instruments
Author
Bruno, I. ; Monni, S.L. ; Nesi, P.
Author_Institution
Dept. of Syst. & Inf., Florence Univ., Italy
fYear
2003
fDate
15-17 Sept. 2003
Firstpage
37
Lastpage
44
Abstract
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 aim is the development of a system for the automatic music transcription being able to recognise and cope with different music instruments. Experimental results have shown that for monophonic pieces the recognition is quite viable, while for polyphonic pieces several problems still exist.
Keywords
audio signal processing; music; musical acoustics; musical instruments; neural nets; audio processing; automatic music recognition; beat tracking; monophonic music; pitch recognition; Acoustic signal detection; Autocorrelation; Data mining; Detection algorithms; Frequency domain analysis; Humans; Informatics; Instruments; Multiple signal classification; Psychology;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Delivering of Music, 2003. 2003 WEDELMUSIC. Proceedings. Third International Conference on
Print_ISBN
0-7695-1935-0
Type
conf
DOI
10.1109/WDM.2003.1233871
Filename
1233871
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