SPE-52: Speech Enhancement 8: Echo Cancellation and Other Tasks |
Session Type: Poster |
Time: Friday, 11 June, 13:00 - 13:45 |
Location: Gather.Town |
Virtual Session: View on Virtual Platform |
Session Chair: Ann Spriet, GOODIX Technology Inc. |
SPE-52.1: A NEURAL ACOUSTIC ECHO CANCELLER OPTIMIZED USING AN AUTOMATIC SPEECH RECOGNIZER AND LARGE SCALE SYNTHETIC DATA |
Nathan Howard; Google |
Alex Park; Google |
Turaj Shabestary; Google |
Alexander Gruenstein; Google |
Rohit Prabhavalkar; Google |
SPE-52.2: LOW-COMPLEXITY, REAL-TIME JOINT NEURAL ECHO CONTROL AND SPEECH ENHANCEMENT BASED ON PERCEPNET |
Jean-Marc Valin; Amazon |
Srikanth Tenneti; Amazon |
Karim Helwani; Amazon |
Umut Isik; Amazon |
Arvindh Krishnaswamy; Amazon |
SPE-52.3: ACOUSTIC ECHO CANCELLATION WITH THE DUAL-SIGNAL TRANSFORMATION LSTM NETWORK |
Nils L. Westhausen; Carl von Ossietzky University |
Bernd T. Meyer; Carl von Ossietzky University |
SPE-52.4: HIGH FIDELITY SPEECH REGENERATION WITH APPLICATION TO SPEECH ENHANCEMENT |
Adam Polyak; Tel Aviv University; Facebook |
Lior Wolf; Tel Aviv University; Facebook |
Yossi Adi; Facebook |
Ori Kabeli; Facebook |
Yaniv Taigman; Facebook |
SPE-52.5: A TIME-DOMAIN CONVOLUTIONAL RECURRENT NETWORK FOR PACKET LOSS CONCEALMENT |
Ju Lin; Clemson University |
Yun Wang; Facebook AI |
Kaustubh Kalgaonkar; Facebook AI |
Gil Keren; Facebook AI |
Didi Zhang; Facebook AI |
Christian Fuegen; Facebook AI |
SPE-52.6: CASCADED TIME + TIME-FREQUENCY UNET FOR SPEECH ENHANCEMENT: JOINTLY ADDRESSING CLIPPING, CODEC DISTORTIONS, AND GAPS |
Arun Asokan Nair; Johns Hopkins University |
Kazuhito Koishida; Microsoft Corporation |