AUD-23.6
AttentionPIT: Soft permutation invariant training for audio source separation with attention mechanism
HIrokazu Kameoka, Shogo Seki, Li Li, Chihiro Watanabe, Nippon Telegraph and Telephone Corporation, Japan
Session:
Speech Separation II
Track:
Audio and Acoustic Signal Processing
Location:
Gather Area K
Presentation Time:
Wed, 11 May, 22:00 - 22:45 China Time (UTC +8)
Wed, 11 May, 14:00 - 14:45 UTC
Wed, 11 May, 14:00 - 14:45 UTC
Session Chair:
Keisuke Kinoshita, NTT Corporation
Session AUD-23
AUD-23.1: SKIM: SKIPPING MEMORY LSTM FOR LOW-LATENCY REAL-TIME CONTINUOUS SPEECH SEPARATION
Chenda Li, Yanmin Qian, Shanghai Jiao Tong University, China; Lei Yang, Weiqin Wang, Samsung Research China - Beijing, China
AUD-23.2: ADAPTING SPEECH SEPARATION TO REAL-WORLD MEETINGS USING MIXTURE INVARIANT TRAINING
Aswin Sivaraman, Indiana University, United States of America; Scott Wisdom, Hakan Erdogan, John R. Hershey, Google Research, United States of America
AUD-23.3: QUANTIFYING DISCRIMINABILITY BETWEEN NMF BASES
Eisuke Konno, Daisuke Saito, Nobuaki Minematsu, The University of Tokyo, Japan
AUD-23.4: LOCATION-BASED TRAINING FOR MULTI-CHANNEL TALKER-INDEPENDENT SPEAKER SEPARATION
Hassan Taherian, Ke Tan, DeLiang Wang, The Ohio State University, United States of America
AUD-23.5: SDR — MEDIUM RARE WITH FAST COMPUTATIONS
Robin Scheibler, LINE Corporation, Japan
AUD-23.6: AttentionPIT: Soft permutation invariant training for audio source separation with attention mechanism
HIrokazu Kameoka, Shogo Seki, Li Li, Chihiro Watanabe, Nippon Telegraph and Telephone Corporation, Japan