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 | 171 | 2020 |
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 | 58 | 2021 |
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 | 47 | 2021 |
Acoustic matching by embedding impulse responses J Su, Z Jin, A Finkelstein ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 34 | 2020 |
Perceptually-motivated environment-specific speech enhancement J Su, A Finkelstein, Z Jin ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 23 | 2019 |
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 | 23 | 2019 |
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 | 10 | 2024 |
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 | 8 | 2022 |
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 | 5 | 2022 |
Study of video captioning problem J Su Study-of-Video-Captioning-Problem-Su/511f0041124d8d14bbcdc7f0e57f3bfe13a58e99, 2018 | 5 | 2018 |
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 | 2 | 2024 |
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 | 2 | 2024 |
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 | 1 | 2024 |
High fidelity audio super resolution Z Jin, J Su, A Finkelstein US Patent App. 17/534,221, 2023 | 1 | 2023 |
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 | | |