RoboVox: A Single/Multi-channel Far-field Speaker Recognition Benchmark for a Mobile Robot - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2024

RoboVox: A Single/Multi-channel Far-field Speaker Recognition Benchmark for a Mobile Robot

Mohammad Mohammadamini
  • Fonction : Auteur
  • PersonId : 1070002
Driss Matrouf
Michael Rouvier
  • Fonction : Auteur
  • PersonId : 1258085
Theophile Gonos
  • Fonction : Auteur
  • PersonId : 1067415

Résumé

In this paper, we introduce a new far-field speaker recognition benchmark called RoboVox. RoboVox is a French corpus recorded by a mobile robot. The files are recorded from different distances under severe acoustical conditions with the presence of several types of noise and reverberation. In addition to noise and reverberation, the robot's internal noise acts as an extra additive noise. RoboVox can be used for both single-channel and multi-channel speaker recognition. In the evaluation protocols, we are considering both cases. The obtained results demonstrate a significant decline in performance in far-filed speaker recognition and urge the community to further research in this domain.
Fichier principal
Vignette du fichier
mohammadamini_LREC_COLING_2024.pdf (372.25 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04536499 , version 1 (08-04-2024)

Licence

Domaine public

Identifiants

  • HAL Id : hal-04536499 , version 1

Citer

Mohammad Mohammadamini, Driss Matrouf, Michael Rouvier, Jean-Francois Bonastre, Romain Serizel, et al.. RoboVox: A Single/Multi-channel Far-field Speaker Recognition Benchmark for a Mobile Robot. LREC_COLING, ELRA, May 2024, Turino, Italy. ⟨hal-04536499⟩
0 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More