163 citations · 214 across the 6 of their papers we have counts for
4 papers · 1 filter
Semi-supervised source localization in reverberant environments with deep generative modeling
Michael J. Bianco, Sharon Gannot, Efren Fernandez-Grande +1
We propose a semi-supervised approach to acoustic source localization in reverberant environments based on deep generative modeling. Localization in reverberant environments remain…
Machine learning in acoustics: theory and applications
Michael J. Bianco, Peter Gerstoft, James Traer +4
Acoustic data provide scientific and engineering insights in fields ranging from biology and communications to ocean and Earth science. We survey the recent advances and transforma…
Gridless Line Spectral Estimation with Multiple Measurement Vector via Variational Bayesian Inference
Qi Zhang, Jiang Zhu, Peter Gerstoft +2
Line spectral estimation (LSE) from multi snapshot samples is studied utilizing the variational Bayesian methods. Motivated by the recently proposed variational line spectral estim…
Sparse Bayesian Learning for DOA Estimation in Heteroscedastic Noise
Peter Gerstoft, Santosh Nannuru, Christoph F. Mecklenbräuker +1
The paper considers direction of arrival (DOA) estimation from long-term observations in a noisy environment. In such an environment the noise source might evolve, causing the stat…