AASP-P3: Classification of acoustic scenes and events
Tue, 16 Apr, 16:30 - 18:30 (UTC +9)
Location: Poster Zone 3A
Session Type: Poster
Session Chair: Gordon Wichern, Mitsubishi Electric Research Labs
Track: Audio and Acoustic Signal Processing
Click the to view the manuscript on IEEE Xplore Open Preview
 

AASP-P3.1: CAN SYNTHETIC DATA BOOST THE TRAINING OF DEEP ACOUSTIC VEHICLE COUNTING NETWORKS?
Stefano Damiano, KU Leuven, Belgium; Luca Bondi, Shabnam Ghaffarzadegan, Andre Guntoro, Bosch Research, United States of America; Toon van Waterschoot, KU Leuven, Belgium
 

AASP-P3.2: ASPED: AN AUDIO DATASET FOR DETECTING PEDESTRIANS
Pavan Seshadri, Chaeyeon Han, Georgia Institute of Technology, United States of America; Bon-Woo Koo, Toronto Metropolitan University, Canada; Noah Posner, Subhrajit Guhathakurta, Alexander Lerch, Georgia Institute of Technology, United States of America
 

AASP-P3.3: MULTI-LEVEL GRAPH LEARNING FOR AUDIO EVENT CLASSIFICATION AND HUMAN-PERCEIVED ANNOYANCE RATING PREDICTION
YUANBO HOU, QIAOQIAO REN, Ghent University, Belgium; SIYANG SONG, University of Leicester, United Kingdom of Great Britain and Northern Ireland; YUXIN SONG, Baidu Inc., China; WENWU WANG, University of Surrey, United Kingdom of Great Britain and Northern Ireland; Dick Botteldooren, Ghent University, Belgium
 

AASP-P3.4: TF-SepNet: An Efficient 1D Kernel Design in CNNs for Low-Complexity Acoustic Scene Classification
Yiqiang Cai, Peihong Zhang, Shengchen Li, Xi'an Jiaotong-Liverpool University, China
 

AASP-P3.5: GENERALIZED SPECAUGMENT VIA MULTI-RECTANGLE INVERSE MASKING FOR ACOUSTIC SCENE CLASSIFICATION
Pil Moo Byun, Joon-Hyuk Chang, Hanyang University, Korea, Republic of
 

AASP-P3.6: TOWARDS HIGH RESOLUTION WEATHER MONITORING WITH SOUND DATA
Enis Berk Çoban, The Graduate School and University Center of The City University of New York, United States of America; Megan Perra, The State University of New York College of Environmental Science and Forestry, United States of America; Michael I Mandel, The Graduate School and University Center of The City University of New York, United States of America
 

AASP-P3.7: U2R: UNDERWATER ULTRASONIC REFLECTION WAVE DATASET TOWARD POSE-INVARIANT MATERIAL RECOGNITION
Mayuka Kono, Yutaro Hirao, Monica Perusquía-Hernández, Nara Institute of Science and Technology, Japan; Naoya Isoyama, Otsuma Women’s University, Japan; Hideaki Uchiyama, Nara Institute of Science and Technology, Japan; Nobuchika Sakata, Ryukoku University, Japan; Jun Takamatsu, Microsoft USA, United States of America; Kiyoshi Kiyokawa, Nara Institute of Science and Technology, Japan
 

AASP-P3.8: MULTI-MODAL CONTINUAL PRE-TRAINING FOR AUDIO ENCODERS
Gyuhak Kim, University of Illinois at Chicago, United States of America; Ho-Hsiang Wu, Luca Bondi, Bosch Research, USA - Bosch Center for Artificial Intelligence, United States of America; Bing Liu, University of Illinois at Chicago, United States of America
 

AASP-P3.9: EXPLORING META INFORMATION FOR AUDIO-BASED ZERO-SHOT BIRD CLASSIFICATION
Alexander Gebhard, Andreas Triantafyllopoulos, Technical University of Munich, University of Augsburg, Germany; Teresa Bez, Lukas Christ, Alexander Kathan, University of Augsburg, Germany; Björn W. Schuller, Technical University of Munich, University of Augsburg, Imperial College London, Germany
 

AASP-P3.10: Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound Detection
Ilyass Moummad, IMT Atlantique, France; Romain Serizel, Loria, France; Nicolas Farrugia, IMT Atlantique, France

AASP-P3.11: Kronecker-Product Beamforming with Sparse Concentric Circular Arrays
Gal Itzhak, Israel Cohen, Technion IIT - Electrical Engineering Department of Electrical Engineering Technion - Israel Institute of Technology , Haifa 32000 Israel