We introduce EmphAssess, a prosodic benchmark designed to evaluate the capability of speech-to-speech models to encode and reproduce prosodic emphasis. We apply this to two tasks: speech resynthesis and speech-to-speech translation. In both cases, the benchmark evaluates the ability of the model to encode emphasis in the speech input and accurately reproduce it in the output, potentially across a change of speaker and language. As part of the evaluation pipeline, we introduce EmphaClass, a new model that classifies emphasis at the frame or word level.
@article{arxiv.2312.14069,
title = {EmphAssess : a Prosodic Benchmark on Assessing Emphasis Transfer in Speech-to-Speech Models},
author = {Maureen de Seyssel and Antony D'Avirro and Adina Williams and Emmanuel Dupoux},
journal= {arXiv preprint arXiv:2312.14069},
year = {2024}
}