English

The Zero Resource Speech Challenge 2017

Computation and Language 2017-12-13 v1
Authors: Ewan Dunbar , Xuan Nga Cao , Juan Benjumea , Julien Karadayi , Mathieu Bernard , Laurent Besacier , Xavier Anguera , Emmanuel Dupoux
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Abstract

We describe a new challenge aimed at discovering subword and word units from raw speech. This challenge is the followup 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.

Keywords

speech recognition natural language processing

Cite

@article{arxiv.1712.04313,
  title  = {The Zero Resource Speech Challenge 2017},
  author = {Ewan Dunbar and Xuan Nga Cao and Juan Benjumea and Julien Karadayi and Mathieu Bernard and Laurent Besacier and Xavier Anguera and Emmanuel Dupoux},
  journal= {arXiv preprint arXiv:1712.04313},
  year   = {2017}
}

Comments

IEEE ASRU (Automatic Speech Recognition and Understanding) 2017. Okinawa, Japan

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R2 v1 2026-06-22T23:15:40.711Z