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This research investigates how accent preservation impacts the perceived identity match and intelligibility of voice clones, revealing that standard accents are rated as more similar to their originals than accented ones. The study demonstrates that while computational embeddings may not fully capture these perceptual nuances, treating accent variation as an explicit component of speaker identity is crucial for accurate voice cloning evaluation. These findings highlight a gap between current off-the-shelf embedding metrics and human perception regarding linguistic diversity in synthetic audio.
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Acoustic and perceptual differences between standard and accented speech and their voice clones

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arXiv:2604.01562v3 Announce Type: replace-cross Abstract: Voice cloning is often evaluated in terms of overall quality, but less is known about accent preservation and its perceptual consequences. We compare standard and heavily accented Mandarin speech and their voice clones using a combined computational and perceptual design. Embedding-based analyses showed larger original-clone distances for accented speakers in several speaker-discriminative embedding spaces, but this difference disappeared after adjusting for each speaker's within-original baseline variability. In the perception study, clones are rated as more similar to their originals for standard than for accented speakers, and intelligibility increases from original to clone, with a larger gain for accented speech. These results show that accent variation can shape perceived identity match and intelligibility in voice cloning even when it is not observed in baseline-adjusted speaker-embedding distance, and they motivate treating accent preservation as an explicit component of speaker identity preservation, rather than assuming that it is fully captured by off-the-shelf speaker-discriminative embeddings.

Abstract:Voice cloning is often evaluated in terms of overall quality, but less is known about accent preservation and its perceptual consequences. We compare standard and heavily accented Mandarin speech and their voice clones using a combined computational and perceptual design. Embedding-based analyses showed larger original-clone distances for accented speakers in several speaker-discriminative embedding spaces, but this difference disappeared after adjusting for each speaker's within-original baseline variability. In the perception study, clones are rated as more similar to their originals for standard than for accented speakers, and intelligibility increases from original to clone, with a larger gain for accented speech. These results show that accent variation can shape perceived identity match and intelligibility in voice cloning even when it is not observed in baseline-adjusted speaker-embedding distance, and they motivate treating accent preservation as an explicit component of speaker identity preservation, rather than assuming that it is fully captured by off-the-shelf speaker-discriminative embeddings.

Sound (cs.SD); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Computers and Society (cs.CY); Human-Computer Interaction (cs.HC)

arXiv:2604.01562 [cs.SD]

(or arXiv:2604.01562v3 [cs.SD] for this version)

https://doi.org/10.48550/arXiv.2604.01562 Focus to learn more arXiv-issued DOI via DataCite

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