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Marvin Sach
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2020 – today
- 2024
- [c4]Ziyi Xu, Marvin Sach, Jan Pirklbauer, Tim Fingscheidt:
Employing Real Training Data for Deep Noise Suppression. ICASSP 2024: 10731-10735 - [c3]Renzheng Shi, Andreas Bär, Marvin Sach, Wouter Tirry, Tim Fingscheidt:
Non-Causal to Causal SSL-Supported Transfer Learning: Towards A High-Performance Low-Latency Speech Vocoder. IWAENC 2024: 359-363 - [i2]Wangyou Zhang, Robin Scheibler, Kohei Saijo, Samuele Cornell, Chenda Li, Zhaoheng Ni, Anurag Kumar, Jan Pirklbauer, Marvin Sach, Shinji Watanabe, Tim Fingscheidt, Yanmin Qian:
URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement. CoRR abs/2406.04660 (2024) - 2023
- [c2]Zhengyang Li, Chenwei Liang, Timo Lohrenz, Marvin Sach, Björn Möller, Tim Fingscheidt:
An Efficient and Noise-Robust Audiovisual Encoder for Audiovisual Speech Recognition. INTERSPEECH 2023: 1583-1587 - [c1]Marvin Sach, Jan Franzen, Bruno Defraene, Kristoff Fluyt, Maximilian Strake, Wouter Tirry, Tim Fingscheidt:
EffCRN: An Efficient Convolutional Recurrent Network for High-Performance Speech Enhancement. INTERSPEECH 2023: 2508-2512 - [i1]Ziyi Xu, Marvin Sach, Jan Pirklbauer, Tim Fingscheidt:
Employing Real Training Data for Deep Noise Suppression. CoRR abs/2309.02432 (2023)
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last updated on 2024-10-30 21:35 CET by the dblp team
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