2D Sound-Source Localization on the Binaural Manifold

Antoine Deleforge 1 Radu Horaud 1, *
* Auteur correspondant
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : The problem of 2D sound-source localization based on a robotic binaural setup and audio-motor learning is addressed. We first introduce a methodology to experimentally verify the existence of a locally-linear bijective mapping between sound-source positions and high-dimensional interaural data, using manifold learning. Based on this local linearity assumption, we propose an novel method, namely probabilistic piecewise affine regression, that learns the localization-to-interaural mapping and its inverse. We show that our method outperforms two state-of-the art mapping methods, and allows to achieve accurate 2D localization of natural sounds from real world binaural recordings.
Type de document :
Communication dans un congrès
MLSP 2012 - IEEE Workshop on Machine Learning for Signal Processing, Sep 2012, Santander, Spain. IEEE, pp.1-6, 2012, 〈10.1109/MLSP.2012.6349784〉
Liste complète des métadonnées

Littérature citée [17 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00768657
Contributeur : Team Perception <>
Soumis le : samedi 22 décembre 2012 - 17:54:06
Dernière modification le : mercredi 11 avril 2018 - 01:58:25
Document(s) archivé(s) le : samedi 23 mars 2013 - 03:47:31

Fichier

Deleforge-MLSP-2012_camready.p...
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Antoine Deleforge, Radu Horaud. 2D Sound-Source Localization on the Binaural Manifold. MLSP 2012 - IEEE Workshop on Machine Learning for Signal Processing, Sep 2012, Santander, Spain. IEEE, pp.1-6, 2012, 〈10.1109/MLSP.2012.6349784〉. 〈hal-00768657〉

Partager

Métriques

Consultations de la notice

770

Téléchargements de fichiers

549