CLApr 29, 2025

ClonEval: An Open Voice Cloning Benchmark

arXiv:2504.20581v32 citationsh-index: 2Has Code
Originality Synthesis-oriented
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This provides a standardized tool for researchers and practitioners in voice cloning to compare models, though it is incremental as it focuses on benchmarking rather than new methods.

The authors introduced ClonEval, a new benchmark for evaluating voice cloning text-to-speech models, including an evaluation protocol, open-source library, and leaderboard to assess performance.

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.

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