Acoustic source localization in strong reverberant environment by parametric Bayesian dictionary learning

• Main Authors: Wang, Lu, Liu, Yanshan, Zhao, Lifan, Wang, Qiang, Zeng, Xiangyang, Chen, Kean
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Electrical and electronic engineering; Source Localization; Sparse Bayesian Method
• Online Access: https://hdl.handle.net/10356/142004
• Institution: Nanyang Technological University

Sparse representation techniques have become increasingly promising for localizing the sound source in reverberant environment, where the multipath channel effects can be accurately characterized by the image model. In this paper, a dictionary is constructed by discretizing the inner space of the en...