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.
@article{arxiv.2211.11584,
title = {Dialogs Re-enacted Across Languages},
author = {Nigel G. Ward and Jonathan E. Avila and Emilia Rivas and Divette Marco},
journal= {arXiv preprint arXiv:2211.11584},
year = {2023}
}