GC-L11.1
THE ICASSP 2024 AUDIO DEEP PACKET LOSS CONCEALMENT GRAND CHALLENGE
Lorenz Diener, Solomiya Branets, Ando Saabas, Ross Cutler, Microsoft, Estonia
Session:
GC-L11: The ICASSP 2024 Audio Deep Packet Loss Concealment Grand Challenge Lecture
Track:
Grand Challenges
Location:
Room 209B
Presentation Time:
Thu, 18 Apr, 13:10 - 13:30 (UTC +9)
Session Co-Chairs:
Lorenz Diener, Microsoft and Ross Cutler, Microsoft
Presentation
Discussion
Resources
No resources available.
Session GC-L11
GC-L11.1: THE ICASSP 2024 AUDIO DEEP PACKET LOSS CONCEALMENT GRAND CHALLENGE
Lorenz Diener, Solomiya Branets, Ando Saabas, Ross Cutler, Microsoft, Estonia
GC-L11.2: MULTI-STAGE TRAINING FOR CROSS-DOMAIN FULL-BAND AUDIO PACKET LOSS CONCEALMENT
Nan Li, Guochen Yu, Chen Zhang, Chao Zhou, Qi Huang, Bing Yu, 北京达佳互联信息技术有限公司, China
GC-L11.3: BS-PLCNET: BAND-SPLIT PACKET LOSS CONCEALMENT NETWORK WITH MULTI-TASK LEARNING FRAMEWORK AND MULTI-DISCRIMINATORS
Zihan Zhang, Jiayao Sun, Northwestern Polytechnical University, China; Xianjun Xia, Chuanzeng Huang, Yijian Xiao, Bytedance, China; Lei Xie, Northwestern Polytechnical University, China
GC-L11.4: A TIME-FREQUENCY BAND-SPLIT NEURAL NETWORK FOR REAL-TIME FULL-BAND PACKET LOSS CONCEALMENT
Lingling Dai, Yuxuan Ke, Huiyong Zhang, Fengyuan Hao, Xiaoxue Luo, Xiaodong Li, Chengshi Zheng, Institute of Acoustics, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China
GC-L11.5: A FULLBAND NEURAL NETWORK FOR AUDIO PACKET LOSS CONCEALMENT
Bryce Irvin, Sile Yin, Shuo Zhang, Marko Stamenovic, Bose Corporation, United States of America
GC-L11.6: TWO-STAGE NEURAL NETWORK MODEL WITH PACKET LOSS DETECTION FOR ICASSP 2024 PLC CHALLENGE
Xingwei Sun, Qinglong Li, Kaichi Ma, Linzhang Wang, Yujun Wang, Xiaomi Corporation, China
Contacts