2 citations · 3 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
PSCodec: A Series of High-Fidelity Low-bitrate Neural Speech Codecs Leveraging Prompt Encoders
Yu Pan, Xiang Zhang, Yuguang Yang +6
Neural speech codecs have recently emerged as a focal point in the fields of speech compression and generation. Despite this progress, achieving high-quality speech reconstruction…