AUD-3.2
DRC-NET: DENSELY CONNECTED RECURRENT CONVOLUTIONAL NEURAL NETWORK FOR SPEECH DEREVERBERATION
Jinjiang Liu, Xueliang Zhang, College of Computer Science, Inner Mongolia University, China
Session:
System Identification and Reverberation Reduction
Track:
Audio and Acoustic Signal Processing
Location:
Gather Area L
Presentation Time:
Sun, 8 May, 21:00 - 21:45 China Time (UTC +8)
Sun, 8 May, 13:00 - 13:45 UTC
Sun, 8 May, 13:00 - 13:45 UTC
Session Chair:
Nobutaka Ito, The University of Tokyo
Session AUD-3
AUD-3.1: TUNET: A BLOCK-ONLINE BANDWIDTH EXTENSION MODEL BASED ON TRANSFORMERS AND SELF-SUPERVISED PRETRAINING
Viet-Anh Nguyen, Anh H. T. Nguyen, FPT Software, Viet Nam; Andy W. H. Khong, Nanyang Technological University, Singapore
AUD-3.2: DRC-NET: DENSELY CONNECTED RECURRENT CONVOLUTIONAL NEURAL NETWORK FOR SPEECH DEREVERBERATION
Jinjiang Liu, Xueliang Zhang, College of Computer Science, Inner Mongolia University, China
AUD-3.3: CUSTOMIZABLE END-TO-END OPTIMIZATION OF ONLINE NEURAL NETWORK-SUPPORTED DEREVERBERATION FOR HEARING DEVICES
Jean-Marie Lemercier, Timo Gerkmann, Universität Hamburg, Germany; Joachim Thiemann, Raphael Koning, Advanced Bionics GmbH, Germany
AUD-3.4: SPLIT BREGMAN APPROACH TO LINEAR PREDICTION BASED DEREVERBERATION WITH ENFORCED SPEECH SPARSITY
Marcin Witkowski, Konrad Kowalczyk, AGH University of Science and Technology, Poland
AUD-3.5: Importance of switch optimization criterion in Switching WPE dereverberation
Naoyuki Kamo, Rintaro Ikeshita, Keisuke Kinoshita, Tomohiro Nakatani, NTT, Japan
AUD-3.6: BLIND LOCALIZATION OF EARLY ROOM REFLECTIONS USING PHASE ALIGNED SPATIAL CORRELATION
Tom Shlomo, Boaz Rafaely, Ben-Gurion University of the Negev, Israel