2017
INTERSPEECH
INTERSPEECH 2017
Hyperarticulation of Corrections in Multilingual Dialogue Systems
Abstract
This present paper aims at answering the question whether there are distinctive cross-linguistic differences associated with hyperarticulated speech in correction dialogue acts. The objective is to assess the effort for adaptation of a multilingual dialogue system in 9 different languages, regarding the recovery strategies, particularly corrections. If the presence of hyperarticulation significantly differs across languages, it will have a significant impact on the dialogue design and recovery strategies.
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Interdisciplinary Bridge
— Artificial Intelligence and Natural Language Processing
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Keyword Pioneer
— multilingual dialogue
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Cross-Pollinator
— Artificial Intelligence, Deep Learning, Healthcare & Medicine, Interdisciplinary, Machine Learning, Natural Language Processing, Speech & Audio