Skip to main content
padlock icon - secure page this page is secure

Sound Source Localization in Reverberant Environments Based on Structural Sparse Bayesian Learning

Buy Article:

$30.00 + tax (Refund Policy)

The sound source localization in reverberant rooms is reformulated as a joint-sparsity support recovery problem in frequency domain under sparse Bayesian learning framework, where the reverberant effect is characterized using the image model. The joint sparsity in different frequencies is imposed by hierarchical probabilistic modeling with its hidden variables estimated by variational Bayesian inference. Numerical simulation results indicate that the proposed method achieves accurate sound source localization under low signal to noise ratio. The algorithm is evaluated by real data experiments using signals recorded in an anechoic chamber with one reflective plate and a rectangular room with strong reverberation. Both the numerical simulations and the real data experiments indicate that the proposed method can be applied in reverberant environments.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Publication date: May 1, 2018

More about this publication?
  • Acta Acustica united with Acustica, published together with the European Acoustics Association (EAA), is an international, peer-reviewed journal on acoustics. It publishes original articles on all subjects in the field of acoustics, such as general linear acoustics, nonlinear acoustics, macrosonics, flow acoustics, atmospheric sound, underwater sound, ultrasonics, physical acoustics, structural acoustics, noise control, active control, environmental noise, building acoustics, room acoustics, acoustic materials, acoustic signal processing, computational and numerical acoustics, hearing, audiology and psychoacoustics, speech, musical acoustics, electroacoustics, auditory quality of systems. It reports on original scientific research in acoustics and on engineering applications. The journal considers scientific papers, technical and applied papers, book reviews, short communications, doctoral thesis abstracts, etc. In irregular intervals also special issues and review articles are published.
  • Editorial Board
  • Information for Authors
  • Submit a Paper
  • Subscribe to this Title
  • Information for Advertisers
  • Online User License
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more