ASMSP-P6.4
Robust and Geometrically Consistent Room Geometry Estimation using Distance Measurements
Malte Larsson, Lund University, Combain Mobile AB, Sweden; Martin Larsson, Combain Mobile AB, Sweden; Viktor Larsson, Magnus Oskarsson, Lund University, Sweden
Session:
ASMSP-P6: Room Acoustics and Sound Field Reconstruction Poster
Track:
ASMSP - Acoustic, Speech and Music Signal Processing
Location:
Balcony I West
Presentation Time:
Thu, 3 Sep, 10:30 - 12:30 Belgium Time (UTC +2)
Presentation
Discussion
Resources
No resources available.
Session ASMSP-P6
ASMSP-P6.1: A MODEL-DRIVEN DEEP LEARNING METHOD FOR ACOUSTIC SYSTEM IDENTIFICATION
Mingming Meng, Hongsen He, Southwest University of Science and Technology, China; Jingdong Chen, Northwestern Polytechnical University, China; Jacob Benesty, University of Quebec, Canada
ASMSP-P6.2: EFFECT OF NOISE MODEL MISMATCH ON ROOM-IMPULSE-RESPONSE REPRESENTATION LEARNING
Karolina Prawda, University of York, United Kingdom; Nils Meyer-Kahlen, Imperial College, United Kingdom; Sebastian Schlecht, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
ASMSP-P6.3: IN TUNE WITH THE ROOM: ADVANCING BLIND RIR GENERATION THROUGH A COMPREHENSIVE EVALUATION FRAMEWORK
Sebastian Stauß, Martin Luther University Halle-Wittenberg, Germany; Hiroshi Watanabe, Waseda University, Japan; Thomas Schmid, Martin Luther University Halle-Wittenberg, Germany
ASMSP-P6.4: Robust and Geometrically Consistent Room Geometry Estimation using Distance Measurements
Malte Larsson, Lund University, Combain Mobile AB, Sweden; Martin Larsson, Combain Mobile AB, Sweden; Viktor Larsson, Magnus Oskarsson, Lund University, Sweden
ASMSP-P6.5: Enhanced U-Net architectures for accurate room impulse response generation via differential-phase learning
Ignacio Martin-Salinas, Universidad Carlos III de Madrid, Spain; Gema Piñero, Universitat Politècnica de València, Spain; Jose A. Belloch, Adrian Amor-Martin, Universidad Carlos III de Madrid, Spain
ASMSP-P6.6: CLUSTERING OF TIME-DOMAIN EQUIVALENT SOURCES FOR EFFICIENT SOUND FIELD REPRODUCTION
Amal Emthyas, Annika Neidhardt, University of Surrey, United Kingdom; Sebastià V. Amengual Garí, Meta, United States; Enzo De Sena, University of Surrey, United Kingdom
ASMSP-P6.7: Effect of Activation Functions in Physics-Informed Neural Networks for Acousto-Optic Tomography
Taehyun Ryu, Waseda University, Japan; Risako Tanigawa, Kenji Ishikawa, NTT, Inc., Japan; Yasuhiro Oikawa, Waseda University, Japan
ASMSP-P6.8: Masked Wavelet Scattering Transform Neural Field for Sound Field Reconstruction
Xinmeng Luan, McGill University, Canada; Samuel A. Verburg, Technical University of Denmark, Denmark; Efren Fernandez-Grande, Universidad Politecnica de Madrid, Spain; Gary Scavone, McGill University, Canada
ASMSP-P6.9: Sound Field Reconstruction with an Attention-Based Deep Operator Network
Stefano Damiano, Toon van Waterschoot, KU Leuven, Belgium
ASMSP-P6.10: BAYESIAN SOUND FIELD RECONSTRUCTION USING PARTIAL BOUNDARY INFORMATION
David Sundström, Lund University, Sweden; Filip Elvander, Aalto University, Finland; Andreas Jakobsson, Lund University, Sweden