GC-P13: Universality, Robustness, and Generalizability for EnhancemeNT (URGENT)
Poster
Fri, 8 May, 14:00 - 16:00
Location: Poster Area 43
Session Type: Poster
Track: SP Grand Challenges
Click the to view the manuscript on IEEE Xplore Open Preview

GC-P13.1: GAP-URGENET: A GENERATIVE-PREDICTIVE FUSION FRAMEWORK FOR UNIVERSAL SPEECH ENHANCEMENT

Xiaobin Rong, Yushi Wang, Zheng Wang, Jing Lu, Nanjing University, China

GC-P13.2: THREE-STAGE BSRNN FOR UNIVERSAL SPEECH ENHANCEMENT AND DATA CURATION USING A LARGE PRE-TRAINED SPEECH RESTORATION MODEL

Ryutaro Matsunaga, Ryo Takahashi, SoftBank Corp., Japan; Shinnosuke Takamichi, Keio University, Japan

GC-P13.3: A HYBRID DISCRIMINATIVE AND GENERATIVE SYSTEM FOR UNIVERSAL SPEECH ENHANCEMENT

Yinghao Liu, Chengwei Liu, Xiaotao Liang, Haoyin Yan, Shaofei Xue, Zheng Xue, Alibaba Group, China

GC-P13.5: ICASSP 2026 URGENT Speech Enhancement Challenge

Chenda Li, Wei Wang, Shanghai Jiao Tong University, China; Marvin Sach, Universität Braunschweig, Germany; Wangyou Zhang, Shanghai Jiao Tong University, China; Kohei Saijo, Waseda University, Japan; Samuele Cornell, Carnegie Mellon University, United States of America; Yihui Fu, Universität Braunschweig, Germany; Zhaoheng Ni, Meta, United States of America; Tim Fingscheidt, Universität Braunschweig, Germany; Shinji Watanabe, Carnegie Mellon University, United States of America; Yanmin Qian, Shanghai Jiao Tong University, China