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Jiaqi Su
Jiaqi Su
Adobe Research
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Title
Cited by
Cited by
Year
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
1712020
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
582021
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
472021
Acoustic matching by embedding impulse responses
J Su, Z Jin, A Finkelstein
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
342020
Perceptually-motivated environment-specific speech enhancement
J Su, A Finkelstein, Z Jin
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
232019
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
232019
Maskmark: Robust Neuralwatermarking for Real and Synthetic Speech
P O’Reilly, Z Jin, J Su, B Pardo
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
102024
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
82022
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
52022
Study of video captioning problem
J Su
Study-of-Video-Captioning-Problem-Su/511f0041124d8d14bbcdc7f0e57f3bfe13a58e99, 2018
52018
MDX-GAN: Enhancing Perceptual Quality in Multi-Class Source Separation Via Adversarial Training
K Chen, J Su, Z Jin
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
22024
Genhancer: High-Fidelity Speech Enhancement via Generative Modeling on Discrete Codec Tokens
H Yang, J Su, M Kim, Z Jin
Proc. Interspeech 2024, 1170-1174, 2024
22024
GR0: Self-Supervised Global Representation Learning for Zero-Shot Voice Conversion
Y Wang, J Su, A Finkelstein, Z Jin
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
12024
High fidelity audio super resolution
Z Jin, J Su, A Finkelstein
US Patent App. 17/534,221, 2023
12023
Code Drift: Towards Idempotent Neural Audio Codecs
P O'Reilly, P Seetharaman, J Su, Z Jin, B Pardo
arXiv preprint arXiv:2410.11025, 2024
2024
Studio quality audio enhancement
Z Jin, J Su, A Finkelstein
US Patent App. 18/191,763, 2024
2024
Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation
K Chen, J Su, T Berg-Kirkpatrick, S Dubnov, Z Jin
arXiv preprint arXiv:2408.16126, 2024
2024
Studio-Quality Speech Enhancement
J Su
Princeton University, 2022
2022
Real Demo for Ted Talk
J Su, Z Jin, A Finkelstein
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Articles 1–19