Dialogs Re-enacted Across Languages

Authors

Nigel Ward, The University of Texas at El PasoFollow
Jonathan E. Avila, The University of Texas at El PasoFollow
Emilia Rivas, The University of Texas at El PasoFollow

Publication Date

11-1-2022

Comments

Technical Report: UTEP-CS-22-108

Abstract

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 some observations and musings. This report is intended for 1) people using this corpus, 2) people extending this corpus, and 3) people designing similar collections of bilingual dialog data.