SPE-5: Speech Enhancement 1: Speech Separation |
Session Type: Poster |
Time: Tuesday, 8 June, 14:00 - 14:45 |
Location: Gather.Town |
Virtual Session: View on Virtual Platform |
Session Chair: Takuya Yoshioka, Microsoft Research |
SPE-5.1: DUAL-PATH MODELING FOR LONG RECORDING SPEECH SEPARATION IN MEETINGS |
Chenda Li; Shanghai Jiao Tong University |
Zhuo Chen; Microsoft |
Yi Luo; Columbia University |
Cong Han; Columbia University |
Tianyan Zhou; Microsoft |
Keisuke Kinoshita; NTT Corporation |
Marc Delcroix; NTT Corporation |
Shinji Watanabe; Johns Hopkins University |
Yanmin Qian; Shanghai Jiao Tong University |
SPE-5.2: TIME-DOMAIN LOSS MODULATION BASED ON OVERLAP RATIO FOR MONAURAL CONVERSATIONAL SPEAKER SEPARATION |
Hassan Taherian; The Ohio State Universtiy |
DeLiang Wang; The Ohio State Universtiy |
SPE-5.3: CONTINUOUS SPEECH SEPARATION WITH CONFORMER |
Sanyuan Chen; Harbin Institute of Technology |
Yu Wu; Microsoft Corporation |
Zhuo Chen; Microsoft Corporation |
Jian Wu; Microsoft Corporation |
Jinyu Li; Microsoft Corporation |
Takuya Yoshioka; Microsoft Corporation |
Chengyi Wang; Microsoft Corporation |
Shujie Liu; Microsoft Corporation |
Ming Zhou; Microsoft Corporation |
SPE-5.4: A FLOW-BASED NEURAL NETWORK FOR TIME DOMAIN SPEECH ENHANCEMENT |
Martin Strauss; International Audio Laboratories Erlangen |
Bernd Edler; International Audio Laboratories Erlangen |
SPE-5.5: SANDGLASSET: A LIGHT MULTI-GRANULARITY SELF-ATTENTIVE NETWORK FOR TIME-DOMAIN SPEECH SEPARATION |
Max W. Y. Lam; Tencent AI Lab |
Jun Wang; Tencent AI Lab |
Dan Su; Tencent AI Lab |
Dong Yu; Tencent AI Lab |
SPE-5.6: TRANSMASK: A COMPACT AND FAST SPEECH SEPARATION MODEL BASED ON TRANSFORMER |
Zining Zhang; National University of Singapore, PVoice technology |
Bingsheng He; National University of Singapore |
Zhenjie Zhang; PVoice technology |