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Realtime Audio to Score Alignment for Polyphonic Music Instruments, using Sparse Non-Negative Constraints and Hierarchical HMMS

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1 Author(s)
Cont, A. ; Realtime Applications Team, Ircam, Paris

We present a new method for realtime alignment of audio to score for polyphonic music signals. In this paper, we will be focusing mostly on the multiple-pitch observation algorithm proposed based on realtime non-negative matrix factorization with sparseness constraints and hierarchical hidden Markov models for sequential modeling using particle filtering for decoding. The proposed algorithm has the advantage of having an explicit instrument model for pitch obtained through unsupervised learning as well as access to single note contribution probabilities which construct a complex chord instead of modeling the chord as one event

Published in:

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on  (Volume:5 )

Date of Conference:

14-19 May 2006

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