This paper presents a system developed for tracking the position of a polyphonic music performance in a symbolic score, possibly in real time. The system, based on Hidden Markov Models, is briefly presented, focusing on specific aspects such as observation modeling based on discrete filterbanks, in contrast with traditional FFT-based approaches, and describing the approaches to decoding. Experimental results are provided to assess the validity of the presented model. Proof-of-concept applications are shown, which effectively employ the described approach beyond the traditional automatic accompaniment system.
A Discrete Filter Bank Approach to Audio to Score Matching for Polyphonic Music
MONTECCHIO, NICOLA;ORIO, NICOLA
2009
Abstract
This paper presents a system developed for tracking the position of a polyphonic music performance in a symbolic score, possibly in real time. The system, based on Hidden Markov Models, is briefly presented, focusing on specific aspects such as observation modeling based on discrete filterbanks, in contrast with traditional FFT-based approaches, and describing the approaches to decoding. Experimental results are provided to assess the validity of the presented model. Proof-of-concept applications are shown, which effectively employ the described approach beyond the traditional automatic accompaniment system.File in questo prodotto:
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