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

16 citations · 36 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2023

Ada-TTA: Towards Adaptive High-Quality Text-to-Talking Avatar Synthesis

Zhenhui Ye, Ziyue Jiang, Yi Ren +5

We are interested in a novel task, namely low-resource text-to-talking avatar. Given only a few-minute-long talking person video with the audio track as the training data and arbit…

cs.CR2023

Breaking Speaker Recognition with PaddingBack

Zhe Ye, Diqun Yan, Li Dong +1

Machine Learning as a Service (MLaaS) has gained popularity due to advancements in Deep Neural Networks (DNNs). However, untrusted third-party platforms have raised concerns about…

eess.AS2023★ 8 cited

Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis

Ziyue Jiang, Jinglin Liu, Yi Ren +10

Zero-shot text-to-speech (TTS) aims to synthesize voices with unseen speech prompts, which significantly reduces the data and computation requirements for voice cloning by skipping…

cs.SD2023★ 10 cited

Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion

Zhe Ye, Terui Mao, Li Dong +1

Deep speech classification has achieved tremendous success and greatly promoted the emergence of many real-world applications. However, backdoor attacks present a new security thre…

eess.AS2023★ 16 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.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★ 1 cited

NAS-FM: Neural Architecture Search for Tunable and Interpretable Sound Synthesis based on Frequency Modulation

Zhen Ye, Wei Xue, Xu Tan +2

Developing digital sound synthesizers is crucial to the music industry as it provides a low-cost way to produce high-quality sounds with rich timbres. Existing traditional synthesi…

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.SD2023★ 1 cited

CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model

Zhen Ye, Wei Xue, Xu Tan +3

Denoising diffusion probabilistic models (DDPMs) have shown promising performance for speech synthesis. However, a large number of iterative steps are required to achieve high samp…

cs.SD2022

Residual-Guided Non-Intrusive Speech Quality Assessment

Zhe Ye, Jiahao Chen, Diqun Yan

This paper proposes an approach to improve Non-Intrusive speech quality assessment(NI-SQA) based on the residuals between impaired speech and enhanced speech. The difficulty in our…