2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

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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