AUD-24: Signal Enhancement and Restoration 1: Deep Learning |
Session Type: Poster |
Time: Thursday, 10 June, 16:30 - 17:15 |
Location: Gather.Town |
Virtual Session: View on Virtual Platform |
Session Chair: Timo Gerkmann, Universität Hamburg |
AUD-24.1: TOWARDS EFFICIENT MODELS FOR REAL-TIME DEEP NOISE SUPPRESSION |
Sebastian Braun; Microsoft |
Hannes Gamper; Microsoft |
Chandan K. A. Reddy; Microsoft |
Ivan Tashev; Microsoft |
AUD-24.2: TEACHER-STUDENT LEARNING FOR LOW-LATENCY ONLINE SPEECH ENHANCEMENT USING WAVE-U-NET |
Sotaro Nakaoka; University of Tsukuba |
Li Li; University of Tsukuba |
Shota Inoue; University of Tsukuba |
Shoji Makino; University of Tsukuba |
AUD-24.3: LEARNING DISENTANGLED FEATURE REPRESENTATIONS FOR SPEECH ENHANCEMENT VIA ADVERSARIAL TRAINING |
Nana Hou; Nanyang Technological University |
Chenglin Xu; National University of Singapore |
Eng Siong Chng; Nanyang Technological University |
Haizhou Li; National University of Singapore |
AUD-24.4: SPEECH ENHANCEMENT AUTOENCODER WITH HIERARCHICAL LATENT STRUCTURE |
Koen Oostermeijer; University of Science and Technology of China |
Jun Du; University of Science and Technology of China |
Qing Wang; University of Science and Technology of China |
Chin-Hui Lee; Georgia Institute of Technology |
AUD-24.5: VARIATIONAL AUTOENCODER FOR SPEECH ENHANCEMENT WITH A NOISE-AWARE ENCODER |
Huajian Fang; Universität Hamburg |
Guillaume Carbajal; Universität Hamburg |
Stefan Wermter; Universität Hamburg |
Timo Gerkmann; Universität Hamburg |
AUD-24.6: GUIDED VARIATIONAL AUTOENCODER FOR SPEECH ENHANCEMENT WITH A SUPERVISED CLASSIFIER |
Guillaume Carbajal; Universität Hamburg |
Julius Richter; Universität Hamburg |
Timo Gerkmann; Universität Hamburg |