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A UNIFIED APPROACH TO REAL TIME AUDIO-TO-SCORE AND AUDIO-TO-AUDIO ALIGNMENT USING SEQUENTIAL MONTECARLO INFERENCE TECHNIQUES

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text
 

Genre(s)

article
 

Forme(s)

document numérique
 

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Titre

A UNIFIED APPROACH TO REAL TIME AUDIO-TO-SCORE AND AUDIO-TO-AUDIO ALIGNMENT USING SEQUENTIAL MONTECARLO INFERENCE TECHNIQUES
 

Nom(s)

Montecchio, Nicola (auteur)
 
Cont, Arshia (auteur)
 

Publication

Prague, Czech Republic , 2011
 

Description

Sujet(s)

Score following   particle filtering   realtime
 

Résumé

We present a methodology for the real time alignment of music signals using sequential Montecarlo inference techniques. The alignment problem is formulated as the state tracking of a dynamical system, and differs from traditional Hidden Markov Model - Dynamic Time Warping based systems in that the hidden state is continuous rather than discrete. The major contribution of this paper is addressing both problems of audio-to-score and audio-to-audio alignment within the same framework in a real time setting. Performances of the proposed methodology on both problems are then evaluated and discussed.
 

Note(s)

Contribution au colloque ou congrès : International Conference on Acoustics and Speech Signal Processing (ICASSP)
 

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Date de la notice

2012-07-20 02:00:00
 

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