Spatio-Temporal Bayesian Regression for Room Impulse Response Reconstruction With Spherical Waves
Author:
Affiliation:
1. Acoustic Technology group, Deparment of Electrical Engineering, Technical University of Denmark, Lyngby, Denmark
Funder
Villum Fonden
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics
Link
http://xplorestaging.ieee.org/ielx7/6570655/9970249/10226555.pdf?arnumber=10226555
Reference64 articles.
1. A two-stage algorithm for one-microphone reverberant speech enhancement
2. Shrinkage priors for Bayesian penalized regression
3. Auralization of Omnidirectional Room Impulse Responses Based on the Spatial Decomposition Method and Synthetic Spatial Data
4. Multiple Speech Sources Localization in Room Reverberant Environment Using Spherical Harmonic Sparse Bayesian Learning
5. An acoustically-motivated spatial prior for under-determined reverberant source separation
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Physics-informed neural network for volumetric sound field reconstruction of speech signals;EURASIP Journal on Audio, Speech, and Music Processing;2024-09-09
2. Room impulse response reconstruction with physics-informed deep learning;The Journal of the Acoustical Society of America;2024-02-01
3. Room Impulse Response Reconstruction Using Pattern-Coupled Sparse Bayesian Learning With Spherical Waves;IEEE Signal Processing Letters;2024
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