| 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 | 179 | 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 | 51 | 2021 |
| Acoustic matching by embedding impulse responses J Su, Z Jin, A Finkelstein ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020 | 37 | 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 | 11 | 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 | 7 | 2022 |
| Study of video captioning problem J Su Study-of-Video-Captioning-Problem-Su/511f0041124d8d14bbcdc7f0e57f3bfe13a58e99, 2018 | 6 | 2018 |
| 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 | 4 | 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 | 4 | 2024 |
| 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 |
| High fidelity audio super resolution Z Jin, J Su, A Finkelstein US Patent 12,217,742, 2025 | 1 | 2025 |
| Code Drift: Towards Idempotent Neural Audio Codecs P O'Reilly, P Seetharaman, J Su, Z Jin, B Pardo arXiv preprint arXiv:2410.11025, 2024 | 1 | 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 | | |
Zeyu JinAdobe ResearchAdresă de e-mail confirmată pe adobe.com