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most citedStableVC: Style Controllable Zero-Shot Voice Conversion with Conditional Flow Matching

1 citations · 1 across the 9 of their papers we have counts for

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eess.AS2024★ 1 cited

StableVC: Style Controllable Zero-Shot Voice Conversion with Conditional Flow Matching

Jixun Yao, Yuguang Yang, Yu Pan +4

Zero-shot voice conversion (VC) aims to transfer the timbre from the source speaker to an arbitrary unseen speaker while preserving the original linguistic content. Despite recent…

cs.SD2024

Zero-Shot Voice Conversion via Content-Aware Timbre Ensemble and Conditional Flow Matching

Yu Pan, Yuguang Yang, Jixun Yao +2

Despite recent advances in zero-shot voice conversion (VC), achieving speaker similarity and naturalness comparable to ground-truth recordings remains a significant challenge. In t…

cs.CV2024

Takin-ADA: Emotion Controllable Audio-Driven Animation with Canonical and Landmark Loss Optimization

Bin Lin, Yanzhen Yu, Jianhao Ye +5

Existing audio-driven facial animation methods face critical challenges, including expression leakage, ineffective subtle expression transfer, and imprecise audio-driven synchroniz…

cs.SD2024

Takin-VC: Expressive Zero-Shot Voice Conversion via Adaptive Hybrid Content Encoding and Enhanced Timbre Modeling

Yuguang Yang, Yu Pan, Jixun Yao +6

Expressive zero-shot voice conversion (VC) is a critical and challenging task that aims to transform the source timbre into an arbitrary unseen speaker while preserving the origina…

cs.SD2024

Takin: A Cohort of Superior Quality Zero-shot Speech Generation Models

Sijing Chen, Yuan Feng, Laipeng He +22

With the advent of the big data and large language model era, zero-shot personalized rapid customization has emerged as a significant trend. In this report, we introduce Takin Audi…

eess.AS2024

MUSA: Multi-lingual Speaker Anonymization via Serial Disentanglement

Jixun Yao, Qing Wang, Pengcheng Guo +4

Speaker anonymization is an effective privacy protection solution designed to conceal the speaker's identity while preserving the linguistic content and para-linguistic information…

cs.SD2024

GMP-TL: Gender-augmented Multi-scale Pseudo-label Enhanced Transfer Learning for Speech Emotion Recognition

Yu Pan, Yuguang Yang, Heng Lu +2

The continuous evolution of pre-trained speech models has greatly advanced Speech Emotion Recognition (SER). However, current research typically relies on utterance-level emotion l…