We present a novel benchmark for voice cloning text-to-speech models. The benchmark consists of an evaluation protocol, an open-source library for assessing the performance of voice cloning models, and an accompanying leaderboard. The paper discusses design considerations and presents a detailed description of the evaluation procedure. The usage of the software library is explained, along with the organization of results on the leaderboard.
Cite
@article{arxiv.2504.20581,
title = {ClonEval: An Open Voice Cloning Benchmark},
author = {Iwona Christop and Tomasz Kuczyński and Marek Kubis},
journal= {arXiv preprint arXiv:2504.20581},
year = {2025}
}