Automatic music recognition from an audio performance is a key challenge for coding music in Western music notation in the digital world. This problem has been addressed in several ways, obtaining suitable results when a single specific instrument and monophonic music are processed. The development of a system for automatic music transcription that is able to cope with different music instruments is the aim of this article. Experimental results have shown that for monophonic pieces, recognition is quite viable and the process can be parameterized to realize a music-independent recognition tool and process. © 2005 Taylor and Francis.

Automatic MUSIC TRANSCRIPTION SUPPORTING DIFFERENT INSTRUMENTS / P. NESI; Ivan BRUNO. - In: JOURNAL OF NEW MUSIC RESEARCH. - ISSN 0929-8215. - STAMPA. - 34:(2005), pp. 139-149. [10.1080/09298210500148652]

Automatic MUSIC TRANSCRIPTION SUPPORTING DIFFERENT INSTRUMENTS

NESI, PAOLO;BRUNO, IVAN
2005

Abstract

Automatic music recognition from an audio performance is a key challenge for coding music in Western music notation in the digital world. This problem has been addressed in several ways, obtaining suitable results when a single specific instrument and monophonic music are processed. The development of a system for automatic music transcription that is able to cope with different music instruments is the aim of this article. Experimental results have shown that for monophonic pieces, recognition is quite viable and the process can be parameterized to realize a music-independent recognition tool and process. © 2005 Taylor and Francis.
2005
34
139
149
P. NESI; Ivan BRUNO
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1654
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