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Jiaqi Su
Jiaqi Su
Adobe Research
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Zitiert von
Zitiert von
Jahr
HiFi-GAN: High-fidelity denoising and dereverberation based on speech deep features in adversarial networks
J Su, Z Jin, A Finkelstein
arXiv preprint arXiv:2006.05694, 2020
1432020
HIFI-GAN-2: STUDIO-QUALITY SPEECH ENHANCEMENT VIA GENERATIVE ADVERSARIAL NETWORKS CONDITIONED ON ACOUSTIC FEATURES
J Su, Z Jin, A Finkelstein
2021 IEEE Workshop on Applications of Signal Processing to Audio and …, 2021
422021
Bandwidth extension is all you need
J Su, Y Wang, A Finkelstein, Z Jin
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
342021
Acoustic matching by embedding impulse responses
J Su, Z Jin, A Finkelstein
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
292020
Learning bandwidth expansion using perceptually-motivated loss
B Feng, Z Jin, J Su, A Finkelstein
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
212019
Perceptually-motivated environment-specific speech enhancement
J Su, A Finkelstein, Z Jin
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
202019
Study of video captioning problem
J Su
Study-of-Video-Captioning-Problem-Su/511f0041124d8d14bbcdc7f0e57f3bfe13a58e99, 2018
52018
Controllable speech representation learning via voice conversion and aic loss
Y Wang, J Su, A Finkelstein, Z Jin
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
32022
Using a predictive model to automatically enhance audio having various audio quality issues
Z Jin, J Su, A Finkelstein
US Patent 11,514,925, 2022
22022
High fidelity audio super resolution
Z Jin, J Su, A Finkelstein
US Patent App. 17/534,221, 2023
2023
Studio-Quality Speech Enhancement
J Su
Princeton University, 2022
2022
MASKMARK: ROBUST NEURAL WATERMARKING FOR REAL AND SYNTHETIC SPEECH
P O’Reilly, Z Jin, J Su, B Pardo
Real Demo for Ted Talk
J Su, Z Jin, A Finkelstein
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