AUD-L4: Audio and Speech Source Separation |
Session Type: Lecture |
Time: Wednesday, 6 May, 11:30 - 13:30 |
Location: On-Demand |
Virtual Session: View on Virtual Platform |
Session Chair: Scott Wisdom, Google |
AUD-L4.1: LEARNING TO SEPARATE SOUNDS FROM WEAKLY LABELED SCENES |
Fatemeh Pishdadian; Northwestern University |
Gordon Wichern; Mitsubishi Electric Research Laboratories (MERL) |
Jonathan Le Roux; Mitsubishi Electric Research Laboratories (MERL) |
AUD-L4.2: IMPROVING UNIVERSAL SOUND SEPARATION USING SOUND CLASSIFICATION |
Efthymios Tzinis; University of Illinois at Urbana-Champaign |
Scott Wisdom; Google |
John R. Hershey; Google |
Aren Jansen; Google |
Daniel P. W. Ellis; Google Research |
AUD-L4.3: SOURCE SEPARATION WITH WEAKLY LABELLED DATA: AN APPROACH TO COMPUTATIONAL AUDITORY SCENE ANALYSIS |
Qiuqiang Kong; ByteDance |
Yuxuan Wang; ByteDance |
Xuchen Song; ByteDance |
Yin Cao; University of Surrey |
Wenwu Wang; University of Surrey |
Mark D. Plumbley; University of Surrey |
AUD-L4.4: BOOSTED LOCALITY SENSITIVE HASHING: DISCRIMINATIVE BINARY CODES FOR SOURCE SEPARATION |
Sunwoo Kim; Indiana University Bloomington |
Haici Yang; Indiana University Bloomington |
Minje Kim; Indiana University Bloomington |
AUD-L4.5: A FREQUENCY-DOMAIN BSS METHOD BASED ON L1 NORM, UNITARY CONSTRAINT, AND CAYLEY TRANSFORM |
Satoru Emura; NTT |
Hiroshi Sawada; NTT |
Shoko Araki; NTT |
Noboru Harada; NTT |
AUD-L4.6: END-TO-END NON-NEGATIVE AUTOENCODERS FOR SOUND SOURCE SEPARATION |
Shrikant Venkataramani; University of Illinois at Urbana-Champaign |
Efthymios Tzinis; University of Illinois at Urbana-Champaign |
Paris Smaragdis; University of Illinois at Urbana-Champaign, Adobe Research |