Time-coherency of Bayesian priors on transient semi-Markov chains for audio-to-score alignment - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year :

Time-coherency of Bayesian priors on transient semi-Markov chains for audio-to-score alignment

Abstract

This paper proposes a novel insight to the problem of real-time alignment with Bayesian inference. When a prior knowledge about the duration of events is available, Semi-Markov models allow the setting of individual duration distributions but give no clue about their choice. We propose a criterion of temporal coherency for such applications and show it might be obtained with the right choice of estimation method. Theoretical insights are obtained through the study of the prior state probability of transient semi-Markov chains.
Fichier principal
Vignette du fichier
73_paper.pdf (220.28 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01080235 , version 1 (04-11-2014)

Identifiers

  • HAL Id : hal-01080235 , version 1

Cite

Philippe Cuvillier. Time-coherency of Bayesian priors on transient semi-Markov chains for audio-to-score alignment. MaxEnt 2014, SEE, Sep 2014, Amboise, France. ⟨hal-01080235⟩
162 View
204 Download

Share

Gmail Facebook Twitter LinkedIn More