Automatic Music Transcription Supporting Different Instruments
Ivan Bruno, Paolo Nesi · Journal of New Music Research · 2005
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.