SS-7.5
A MULTI-TASK LEARNING METHOD FOR WEAKLY SUPERVISED SOUND EVENT DETECTION
Sichen Liu, Feiran Yang, Fang Kang, Jun Yang, Institute of Acoustics, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China
Session:
Learning-based Acoustic Signal Processing for Stay-at-home Applications in Pandemic Times
Track:
Special Sessions
Location:
Gather Area A
Presentation Time:
Tue, 10 May, 20:00 - 20:45 China Time (UTC +8)
Tue, 10 May, 12:00 - 12:45 UTC
Tue, 10 May, 12:00 - 12:45 UTC
Session Co-Chairs:
Woon-Seng Gan, Nanyang Technological University and Mingsian Bai, National Tsing Hua University
Session SS-7
SS-7.1: DNN BASED MULTIFRAME SINGLE-CHANNEL NOISE REDUCTION FILTERS
Ningning Pan, Jingdong Chen, Northwestern Polytechnical University, China; Jacob Benesty, University of Quebec, Canada
SS-7.2: LEARNING-BASED PERSONAL SPEECH ENHANCEMENT FOR TELECONFERENCING BY EXPLOITING SPATIAL-SPECTRAL FEATURES
Yicheng Hsu, Yonghan Lee, Mingsian Bai, National Tsing Hua University, Taiwan
SS-7.3: MANIFOLD LEARNING-SUPPORTED ESTIMATION OF RELATIVE TRANSFER FUNCTIONS FOR SPATIAL FILTERING
Andreas Brendel, Johannes Zeitler, Walter Kellermann, Friedrich-Alexander University Erlangen-Nuremberg, Germany
SS-7.4: AUDIO SIGNAL PROCESSING FOR TELEPRESENCE BASED ON WEARABLE ARRAY IN NOISY AND DYNAMIC SCENES
Hanan Beit-On, Moti Lugasi, Lior Madmoni, Boaz Rafaely, Ben-Gurion University, Israel; Anjali Menon, Anurag Kumar, Jacob Donley, Vladimir Tourbabin, Facebook, United States of America
SS-7.5: A MULTI-TASK LEARNING METHOD FOR WEAKLY SUPERVISED SOUND EVENT DETECTION
Sichen Liu, Feiran Yang, Fang Kang, Jun Yang, Institute of Acoustics, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China
SS-7.6: LOW RESOURCES ONLINE SINGLE-MICROPHONE SPEECH ENHANCEMENT WITH HARMONIC EMPHASIS
Nir Raviv, Ofer Schwartz, CEVA-DSP, Israel; Sharon Gannot, Bar-Ilan University, Israel