MLSP-18.3
SEMI-SUPERVISED SOURCE LOCALIZATION WITH RESIDUAL PHYSICAL LEARNING
Michael Bianco, Peter Gerstoft, University of California San Diego, United States of America
Session:
Deep Learning for Speech and Audio Processing I
Track:
Machine Learning for Signal Processing
Location:
Gather Area G
Presentation Time:
Mon, 9 May, 22:00 - 22:45 China Time (UTC +8)
Mon, 9 May, 14:00 - 14:45 UTC
Mon, 9 May, 14:00 - 14:45 UTC
Session Chair:
Wenwu Wang, University of Surrey
Session MLSP-18
MLSP-18.1: DEEP AUGMENTED MUSIC ALGORITHM FOR DATA-DRIVEN DOA ESTIMATION
Julian P. Merkofer, Guy Revach, ETH Zurich, Switzerland; Nir Shlezinger, Ben-Gurion University of the Negev, Israel; Ruud J. G. van Sloun, Eindhoven University of Technology, Netherlands
MLSP-18.2: CONVMIXER: FEATURE INTERACTIVE CONVOLUTION WITH CURRICULUM LEARNING FOR SMALL FOOTPRINT AND NOISY FAR-FIELD KEYWORD SPOTTING
Dianwen Ng, Yunqi Chen, Eng Siong Chng, Nanyang Technological University, Singapore; Biao Tian, Qiang Fu, Alibaba Group, China
MLSP-18.3: SEMI-SUPERVISED SOURCE LOCALIZATION WITH RESIDUAL PHYSICAL LEARNING
Michael Bianco, Peter Gerstoft, University of California San Diego, United States of America
MLSP-18.4: AUTOMATED PROSODY CLASSIFICATION FOR ORAL READING FLUENCY WITH QUADRATIC KAPPA LOSS AND ATTENTIVE X-VECTORS
George Sammit, Zhongjie Wu, Yihao Wang, Zhongdi Wu, Akihito Kamata, Eric C. Larson, Southern Methodist University, United States of America; Joseph Nese, University of Oregon, United States of America
MLSP-18.5: SEED: SOUND EVENT EARLY DETECTION VIA EVIDENTIAL UNCERTAINTY
Xujiang Zhao, Feng Chen, University of Texas at Dallas, United States of America; Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, NEC Laboratories America, United States of America
MLSP-18.6: RANK-BASED LOSS FOR LEARNING HIERARCHICAL REPRESENTATIONS
Ines Nolasco, Queen Mary university of London, United Kingdom of Great Britain and Northern Ireland; Dan Stowell, Tilburg University, Netherlands