Concepedia

Zeyu Jin

ZJ

Statistics

Publications

22

Citations

877

H-Index

16

Active since

2016

Affiliations

Adobe Systems (United States)(Current)

Princeton University

Shanghai University

Zeyu Jin is an author at Adobe Systems (United States) specializing in deep learning, engineering, and speech recognition.

Top concepts

EngineeringDeep LearningSpeech ProcessingSpeech RecognitionHealthMachine LearningSpeech PerceptionMusicText-to-speechSpeech Enhancement

Publications per year

2016–2025

22

Publications

22

HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

Jiaqi Su, Zeyu Jin, Adam Finkelstein · 2020 · 125 citations

Engineering, Machine Learning, Speech Enhancement +16

Fftnet: A Real-Time Speaker-Dependent Neural Vocoder

Zeyu Jin, Adam Finkelstein, Gautham J. Mysore et al. · 2018 · 105 citations

F0-Consistent Many-To-Many Non-Parallel Voice Conversion Via Conditional Autoencoder

Kaizhi Qian, Zeyu Jin, Mark Hasegawa‐Johnson et al. · 2020 · 97 citations · Full text

Zeyu Jin, Gautham J. Mysore, Stephen DiVerdi et al. · ACM Transactions on Graphics · 2017 · 63 citations

Natural Language Processing, Engineering, Audio Narration +15

A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences

Pranay Manocha, Adam Finkelstein, Richard Zhang et al. · 2020 · 53 citations

Music, Psychoacoustics, Engineering +19

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