The RedDots Data Collection for Speaker Recognition

Abstract : This paper describes data collection efforts conducted as part of the RedDots project which is dedicated to the study of speaker recognition under conditions where test utterances are of short duration and of variable phonetic content. At the current stage, we focus on English speakers, both native and non-native, recruited worldwide. This is made possible through the use of a recording front-end consisting of an application running on mobile devices communicating with a centralized web server at the back-end. Speech recordings are collected by having speakers read text prompts displayed on the screen of the mobile devices. We aim to collect a large number of sessions from each speaker over a long time span, typically one session per week over a one year period. The corpus is expected to include rich inter-speaker and intra-speaker variations, both intrinsic and extrinsic (that is, due to recording channel and acoustic environment).
Type de document :
Communication dans un congrès
Interspeech 2015, Sep 2015, Dresden, Germany. INTERSPEECH 2015 16th Annual Conference of the International Speech Communication Association
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01818427
Contributeur : Anthony Larcher <>
Soumis le : mardi 19 juin 2018 - 10:08:37
Dernière modification le : mercredi 11 juillet 2018 - 01:27:21

Fichier

i15_2996.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

  • HAL Id : hal-01818427, version 1

Collections

Citation

Kong Lee, Anthony Larcher, Guangsen Wang, Patrick Kenny, Niko Brümmer, et al.. The RedDots Data Collection for Speaker Recognition. Interspeech 2015, Sep 2015, Dresden, Germany. INTERSPEECH 2015 16th Annual Conference of the International Speech Communication Association. 〈hal-01818427〉

Partager

Métriques

Consultations de la notice

6

Téléchargements de fichiers

5