AUD-24.6
AN END-TO-END DEEP LEARNING FRAMEWORK FOR MULTIPLE AUDIO SOURCE SEPARATION AND LOCALIZATION
Yu Chen, Bowen Liu, Zijian Zhang, Hun-Seok Kim, University of Michigan, United States of America
Session:
Acoustic Sensor Array Processing I: Localization
Track:
Audio and Acoustic Signal Processing
Location:
Gather Area K
Presentation Time:
Wed, 11 May, 23:00 - 23:45 China Time (UTC +8)
Wed, 11 May, 15:00 - 15:45 UTC
Wed, 11 May, 15:00 - 15:45 UTC
Session Chair:
Jesper Rindom Jensen, Aalborg University Denmark
Session AUD-24
AUD-24.1: Locate This, Not That: Class-Conditioned Sound Event DOA Estimation
Olga Slizovskaia, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux, Mitsubishi Electric Research Laboratories (MERL), United States of America
AUD-24.2: SALSA-Lite: A Fast and Effective Feature for Polyphonic Sound Event Localization and Detection with Microphone Arrays
Thi Ngoc Tho Nguyen, Karn N. Watcharasupat, Woon-Seng Gan, Nanyang Technological University, Singapore; Douglas L. Jones, University of Illinois Urbana-Champaign, United States of America; Huy Phan, Queen Mary University of London, United Kingdom of Great Britain and Northern Ireland
AUD-24.3: SRP-DNN: LEARNING DIRECT-PATH PHASE DIFFERENCE FOR MULTIPLE MOVING SOUND SOURCE LOCALIZATION
Bing Yang, Hong Liu, Peking University, China; Xiaofei Li, Westlake University & Westlake Institute for Advanced Study, China
AUD-24.4: Closed-form single source direction-of-arrival estimator using first-order relative harmonic coefficients
Yonggang Hu, Australian National University, Australia; Sharon Gannot, Bar-Ilan University, Israel
AUD-24.5: A SLIDE-SAVE BASED FRAMEWORK FOR MULTI-SOURCE DOA EXTRACTION WITH SPATIAL CLOSELY SEPARATED SOURCES
Jianhua Geng, Sifan Wang, Xin Lou, ShanghaiTech University, China
AUD-24.6: AN END-TO-END DEEP LEARNING FRAMEWORK FOR MULTIPLE AUDIO SOURCE SEPARATION AND LOCALIZATION
Yu Chen, Bowen Liu, Zijian Zhang, Hun-Seok Kim, University of Michigan, United States of America