Papers › Dialogs Re-enacted Across Languages
Dialogs Re-enacted Across Languages
Nigel G. Ward, Jonathan E. Avila, Emilia Rivas, Divette Marco
To support machine learning of cross-language prosodic mappings and other ways to improve speech-to-speech translation, we present a protocol for collecting closely matched pairs of utterances across languages, a description of the resulting data collection and its public release, and some observations and musings. This report is intended for: people using this corpus, people extending this corpus, and people designing similar collections of bilingual dialog data.
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