EUSIPCO 2023 || Helsinki, Finland || 4

Fri AM1.L5.5

Independent Vector Extraction Constrained on Manifold of Half-Length Filters

Zbynek Koldovsky, Jaroslav Cmejla, Technical University of Liberec, Czech Republic; Tulay Adali, University of Maryland, United States; Stephen O'Regan, Naval Surface Warfare Center Carderock Division, United States

Session:

Fri AM1.L5: Advanced Signal Processing and Machine Learning for Acoustic Scene Analysis and Signal Enhancement Lecture

Location:

Press room

Presentation Time:

Fri, 8 Sep, 11:50 - 12:10 Finland Time (UTC +3)

Session Co-Chairs:

Shoji Makino, Waseda University and Nobutaka Ono, Tokyo Metropolitan University

Session Fri AM1.L5

Fri AM1.L5.1: LOCALIZING SPATIAL INFORMATION IN NEURAL SPATIOSPECTRAL FILTERS

Annika Briegleb, Thomas Haubner, Vasileios Belagiannis, Walter Kellermann, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

Fri AM1.L5.2: NoisyILRMA: Diffuse-Noise-Aware Independent Low-Rank Matrix Analysis for Fast Blind Source Extraction

Koki Nishida, Norihiro Takamune, The University of Tokyo, Japan; Rintaro Ikeshita, NTT Corporation, Japan; Daichi Kitamura, National Institute of Technology, Japan; Hiroshi Saruwatari, The University of Tokyo, Japan; Tomohiro Nakatani, NTT Corporation, Japan

Fri AM1.L5.3: Constant Separating Vector-based Blind Source Extraction and Dereverberation for a Moving Speaker

Tetsuya Ueda, Shoji Makino, Waseda University, Japan

Fri AM1.L5.4: Acoustic Traffic Monitoring Based on Deep Neural Network Trained by Stereo-Recorded Sound and Sensor Data

Tomohiro Takahashi, Yuma Kinoshita, Yukoh Wakabayashi, Nobutaka Ono, Tokyo Metropolitan University, Japan; Jun Honda, Seishi Fukuma, Aoi Kitamori, Hiroshi Nakagawa, NEXCO-EAST ENGINEERING, Japan

Fri AM1.L5.5: Independent Vector Extraction Constrained on Manifold of Half-Length Filters