An information-geometric approach to real-time audio segmentation - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles IEEE Signal Processing Letters Year : 2013

An information-geometric approach to real-time audio segmentation

Abstract

We present a generic approach to real-time audio segmentation in the framework of information geometry for exponential families. The proposed system detects changes by monitoring the information rate of the signals as they arrive in time. We also address shortcomings of traditional cumulative sum approaches to change detection, which assume known parameters before change. This is done by considering exact generalized likelihood ratio test statistics, with a complete estimation of the unknown parameters in the respective hypotheses. We derive an efficient sequential scheme to compute these statistics through convex duality. We finally provide results for speech segmentation in speakers, and polyphonic music segmentation in note slices.
Fichier principal
Vignette du fichier
draft.pdf (269.36 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00793999 , version 1 (24-02-2013)

Identifiers

Cite

Arnaud Dessein, Arshia Cont. An information-geometric approach to real-time audio segmentation. IEEE Signal Processing Letters, 2013, 20 (4), pp.331-334. ⟨10.1109/LSP.2013.2247039⟩. ⟨hal-00793999⟩
242 View
541 Download

Altmetric

Share

Gmail Facebook X LinkedIn More