no code implementations • SIGDIAL (ACL) 2021 • Nigel Ward, Jonathan E. Avila, Aaron M. Alarcon
We collected a corpus of human-human task-oriented dialogs rich in dissatisfaction and built a model that used prosodic features to predict when the user was likely dissatisfied.
1 code implementation • 9 Jul 2023 • Jonathan E. Avila, Nigel G. Ward
Speech-to-speech translation systems today do not adequately support use for dialog purposes.
1 code implementation • 18 Nov 2022 • 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.