RT-VC: Real-Time Zero-Shot Voice Conversion with Speech Articulatory Coding

Voice conversion has emerged as a pivotal technology in numerous applications ranging from assistive communication to entertainment.In this paper, we present RT-VC, a zero-shot real-time voice conversion system that delivers ultra-low latency and high-quality performance.Our approach leverages an articulatory feature space to naturally disentangle content and speaker characteristics, facilitating more robust and interpretable voice transformations.Additionally, the integration of differentiable digital signal processing (DDSP) enables efficient vocoding directly from articulatory features, significantly reducing conversion latency.Experimental evaluations demonstrate that, while maintaining synthesis quality comparable to the current state-of-the-art (SOTA) method, RT-VC achieves a CPU latency of 61.4 ms, representing a 13.3% reduction in latency.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.acl-demo.37
Primary Topic
Speech Recognition and Synthesis
Type
article
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article

RT-VC: Real-Time Zero-Shot Voice Conversion with Speech Articulatory Coding

Rayyan Azam Khan, Gopala Anumanchipalli, Chenyang Wang, Yisi Liu et al.
Speech Recognition and Synthesis
article

RT-VC: Real-Time Zero-Shot Voice Conversion with Speech Articulatory Coding

Rayyan Azam Khan, Gopala Anumanchipalli, Chenyang Wang, Yisi Liu, Hyungjoo Kim
article en

Abstract

Voice conversion has emerged as a pivotal technology in numerous applications ranging from assistive communication to entertainment.In this paper, we present RT-VC, a zero-shot real-time voice conversion system that delivers ultra-low latency and high-quality performance.Our approach leverages an articulatory feature space to naturally disentangle content and speaker characteristics, facilitating more robust and interpretable voice transformations.Additionally, the integration of differentiable digital signal processing (DDSP) enables efficient vocoding directly from articulatory features, significantly reducing conversion latency.Experimental evaluations demonstrate that, while maintaining synthesis quality comparable to the current state-of-the-art (SOTA) method, RT-VC achieves a CPU latency of 61.4 ms, representing a 13.3% reduction in latency.

Berkeley College (US), University of California, Berkeley (US)
Openalex Percentile: Top 90%
Speech Recognition and Synthesis
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RT-VC: Real-Time Zero-Shot Voice Conversion with Speech Articulatory Coding — Rayyan Azam Khan, Gopala Anumanchipalli, et al. · (2025) | TGRS Research Map | TGRS