most citedProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech

21 citations · 45 across the 7 of their papers we have counts for

collaborators

7 papers

eess.AS202316 cited

Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias

Ziyue Jiang, Yi Ren, Zhenhui Ye +9

Scaling text-to-speech to a large and wild dataset has been proven to be highly effective in achieving timbre and speech style generalization, particularly in zero-shot TTS. Howeve…

cs.CV20233 cited

Attributing Image Generative Models using Latent Fingerprints

Guangyu Nie, Changhoon Kim, Yezhou Yang +1

Generative models have enabled the creation of contents that are indistinguishable from those taken from nature. Open-source development of such models raised concerns about the ri…

cs.CL2023

AV-TranSpeech: Audio-Visual Robust Speech-to-Speech Translation

Rongjie Huang, Huadai Liu, Xize Cheng +8

Direct speech-to-speech translation (S2ST) aims to convert speech from one language into another, and has demonstrated significant progress to date. Despite the recent success, cur…

cs.SD2023

FluentSpeech: Stutter-Oriented Automatic Speech Editing with Context-Aware Diffusion Models

Ziyue Jiang, Qian Yang, Jialong Zuo +4

Stutter removal is an essential scenario in the field of speech editing. However, when the speech recording contains stutters, the existing text-based speech editing approaches sti…

cs.SD2023

CLAPSpeech: Learning Prosody from Text Context with Contrastive Language-Audio Pre-training

Zhenhui Ye, Rongjie Huang, Yi Ren +5

Improving text representation has attracted much attention to achieve expressive text-to-speech (TTS). However, existing works only implicitly learn the prosody with masked token r…

cs.CV20235 cited

GeneFace++: Generalized and Stable Real-Time Audio-Driven 3D Talking Face Generation

Zhenhui Ye, Jinzheng He, Ziyue Jiang +7

Generating talking person portraits with arbitrary speech audio is a crucial problem in the field of digital human and metaverse. A modern talking face generation method is expecte…