activity
20162021
most citedMachine learning in acoustics: theory and applications

574 citations · 630 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SD2021★ 13 cited

Audio scene monitoring using redundant ad-hoc microphone array networks

Peter Gerstoft, Yihan Hu, Michael J. Bianco +4

We present a system for localizing sound sources in a room with several ad-hoc microphone arrays. Each circular array performs direction of arrival (DOA) estimation independently u…

eess.SP2021

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…

eess.AS2020★ 5 cited

SSLIDE: Sound Source Localization for Indoors based on Deep Learning

Yifan Wu, Roshan Ayyalasomayajula, Michael J. Bianco +2

This paper presents SSLIDE, Sound Source Localization for Indoors using DEep learning, which applies deep neural networks (DNNs) with encoder-decoder structure to localize sound so…

eess.AS2020★ 27 cited

Semi-supervised source localization with deep generative modeling

Michael J. Bianco, Sharon Gannot, Peter Gerstoft

We propose a semi-supervised localization approach based on deep generative modeling with variational autoencoders (VAEs). Localization in reverberant environments remains a challe…

eess.SP2019★ 574 cited

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…

physics.geo-ph2017★ 5 cited

Travel time tomography with adaptive dictionaries

Michael Bianco, Peter Gerstoft

We develop a 2D travel time tomography method which regularizes the inversion by modeling groups of slowness pixels from discrete slowness maps, called patches, as sparse linear co…

physics.ao-ph2016★ 6 cited

Dictionary learning of sound speed profiles

Michael Bianco, Peter Gerstoft

To provide constraints on their inversion, ocean sound speed profiles (SSPs) often are modeled using empirical orthogonal functions (EOFs). However, this regularization, which uses…