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

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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…

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…