AASP-P29: System Identification and Dereverberation & Fundamental Theory and Algorithms for Audio and Acoustic Signal Processing
Poster
Fri, 8 May, 14:00 - 16:00
Location: Poster Area 24
Session Type: Poster
Track: Audio and Acoustic Signal Processing [AA]
Click the to view the manuscript on IEEE Xplore Open Preview

AASP-P29.1: SPRING REVERB EMULATION WITH HYBRID GATED CONVOLUTIONAL NETWORKS AND STATE SPACE MODELS

Jonas Janser, Matthias Wess, Dominik Dallinger, Matthias Bittner, Daniel Schnöll, Axel Jantsch, TU Wien, Austria

AASP-P29.2: TRAINING-FREE INFERENCE-TIME SCALING FOR AUDIO SOURCE SEPARATION

Yongyi Zang, Independent Researcher, United States of America; Jingyi Li, University of Illinois Urbana-Champaign, United States of America; Qiuqiang Kong, The Chinese University of Hong Kong, United States of America

AASP-P29.3: OFF-THE-GRID MULTI-PITCH ESTIMATION USING OPTIMAL TRANSPORT

Anton Björkman, Filip Elvander, Aalto University, Finland

AASP-P29.4: FORWARD CONVOLUTIVE PREDICTION FOR FRAME ONLINE MONAURAL SPEECH DEREVERBERATION BASED ON KRONECKER PRODUCT DECOMPOSITION

Yujie Zhu, School of Electronic Information, Wuhan University, Wuhan, Hubei, China, China; Jilu Jin, Xueqin Luo, CIAIC, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, China, China; Wenxing Yang, School of Oriental Pan-Vascular Devices Innovation College, University of Shanghai for Science and Technology, Shanghai, 200093, China, China; Zhong-Qiu Wang, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China, China; Gongping Huang, School of Electronic Information, Wuhan University, Wuhan, Hubei, China, China; Jingdong Chen, CIAIC, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, China, China; Jacob Benesty, INRS-EMT, University of Quebec, Montreal, QC H5A 1K6, Canada, Canada

AASP-P29.5: LEARNING PIEZOELECTRIC HYSTERESIS IN IN-EAR MEMS LOUDSPEAKERS FROM ACOUSTIC MEASUREMENTS

Oliviero Massi, Alessandro Ilic Mezza, Riccardo Giampiccolo, Alberto Bernardini, Politecnico di Milano, Italy

AASP-P29.6: ACOUSTIC NON-STATIONARITY OBJECTIVE ASSESSMENT WITH HARD LABEL CRITERIA FOR SUPERVISED LEARNING MODELS

Guilherme Zucatelli, Ricardo Barioni, Gabriela Dantas, SiDi / Samsung, Brazil

AASP-P29.7: CONTINUATION METHOD FOR FEEDBACK DELAY NETWORK MODAL DECOMPOSITION

Jeremy Bai, Sebastian Schlecht, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

AASP-P29.8: RANDOM MATRIX-DRIVEN GRAPH REPRESENTATION LEARNING FOR BIOACOUSTIC RECOGNITION

Biaohang Yuan, Xizang University, China; Jiangzhao Wang, Hunan University, China; YuKai Hao, Wuhan University of Technology, China; Ruzhen Chen, Xizang University, China; Yan Zhou, Beijing Institute of Technology(Zhuhai), China

AASP-P29.10: Maximum Likelihood Measurement Noise Estimation for Block-Time Domain Kalman Filters

Till Hardenbicker, Jan Schneider, Peter Jax, RWTH Aachen University, Germany