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ClonEval: An Open Voice Cloning Benchmark

Published: April 29, 2025 | arXiv ID: 2504.20581v3

By: Iwona Christop, Tomasz Kuczyński, Marek Kubis

Potential Business Impact:

Tests how well computers copy voices.

Business Areas:
Speech Recognition Data and Analytics, Software

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.

Page Count
5 pages

Category
Computer Science:
Computation and Language