THE ZERO RESOURCE SPEECH CHALLENGE 2017

Ewan Dunbar (1, 2) , Xuan Nga Cao (1, 2) , Juan Benjumea (1, 2) , Julien Karadayi (1, 2) , Mathieu Bernard (1, 2) , Laurent Besacier (3, 4, 5) , Xavier Anguera (6) , Emmanuel Dupoux (1, 2)

1 EHESS - École des hautes études en sciences sociales
2 ENS-PSL - École normale supérieure - Paris
3 GETALP - Groupe d’Étude en Traduction Automatique/Traitement Automatisé des Langues et de la Parole
4 LIG - Laboratoire d'Informatique de Grenoble
5 IUF - Institut universitaire de France
6 Elsa Corp

We describe a new challenge aimed at discovering subword and word units from raw speech. This challenge is the fol-lowup to the Zero Resource Speech Challenge 2015. It aims at constructing systems that generalize across languages and adapt to new speakers. The design features and evaluation metrics of the challenge are presented and the results of seventeen models are discussed.

Domaines: Informatique et langage [cs.CL]

Ewan Dunbar, Xuan Nga Cao, Juan Benjumea, Julien Karadayi, Mathieu Bernard, et al.. THE ZERO RESOURCE SPEECH CHALLENGE 2017. IEEE Automatic Speech Recognition and Understanding (ASRU), Dec 2017, Okinawa, Japan. ⟨hal-01664586⟩