45 citations · 69 across the 14 of their papers we have counts for
15 papers
SemAlignVC: Enhancing zero-shot timbre conversion using semantic alignment
Shivam Mehta, Yingru Liu, Zhenyu Tang +6
Zero-shot voice conversion (VC) synthesizes speech in a target speaker's voice while preserving linguistic and paralinguistic content. However, timbre leakage-where source speaker…
Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement
Xueyao Zhang, Xiaohui Zhang, Kainan Peng +10
The imitation of voice, targeted on specific speech attributes such as timbre and speaking style, is crucial in speech generation. However, existing methods rely heavily on annotat…
Less Peaky and More Accurate CTC Forced Alignment by Label Priors
Ruizhe Huang, Xiaohui Zhang, Zhaoheng Ni +9
Connectionist temporal classification (CTC) models are known to have peaky output distributions. Such behavior is not a problem for automatic speech recognition (ASR), but it can c…
Acoustic modeling for Overlapping Speech Recognition: JHU Chime-5 Challenge System
Vimal Manohar, Szu-Jui Chen, Zhiqi Wang +3
This paper summarizes our acoustic modeling efforts in the Johns Hopkins University speech recognition system for the CHiME-5 challenge to recognize highly-overlapped dinner party…
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
Matthew Le, Apoorv Vyas, Bowen Shi +8
Large-scale generative models such as GPT and DALL-E have revolutionized the research community. These models not only generate high fidelity outputs, but are also generalists whic…
Self-Supervised Representations for Singing Voice Conversion
Tejas Jayashankar, Jilong Wu, Leda Sari +3
A singing voice conversion model converts a song in the voice of an arbitrary source singer to the voice of a target singer. Recently, methods that leverage self-supervised audio r…