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Conference Papers Year : 2017

THE ZERO RESOURCE SPEECH CHALLENGE 2017

Abstract

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.
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Dates and versions

hal-01664586 , version 1 (15-12-2017)

Identifiers

  • HAL Id : hal-01664586 , version 1

Cite

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⟩
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