The zero resource speech challenge 2017

Maarten Versteegh, Roland Thiollière, Thomas Schatz, Xuan-Nga Cao, Xavier Anguera Miró, A. Jansen, Emmanuel Dupoux
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引用次数: 221

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.
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零资源演讲挑战2017
我们描述了一个新的挑战,旨在从原始语音中发现子词和词单位。这个挑战是2015年零资源演讲挑战的后续。它旨在构建跨语言的通用系统,并适应新使用者。提出了挑战的设计特点和评估指标,并讨论了17个模型的结果。
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