Emma Ozanich

Deep embedded clustering of coral reef bioacoustics.

Simon E. Freeman, P. Gerstoft, A. Thode, 2021, The Journal of the Acoustical Society of America.

Machine learning in acoustics: Theory and applications.

Sharon Gannot, Charles-Alban Deledalle, Emma Ozanich, 2019, The Journal of the Acoustical Society of America.

Machine learning in acoustics: a review pdf

Sharon Gannot, Michael Bianco, Peter Gerstoft, 2019, ArXiv.

A feedforward neural network for direction-of-arrival estimation.

Emma Ozanich, Peter Gerstoft, Haiqiang Niu, 2020, The Journal of the Acoustical Society of America.

Deep-learning source localization using multi-frequency magnitude-only data.

Haibin Wang, Haiqiang Niu, Zaixiao Gong, 2019, The Journal of the Acoustical Society of America.

Ship localization in Santa Barbara Channel using machine learning classifiers.

Peter Gerstoft, Haiqiang Niu, Emma Ozanich, 2017, The Journal of the Acoustical Society of America.

Block sparse Bayesian learning for broadband mode extraction in shallow water from a vertical array.

Renhe Zhang, Haibin Wang, Zhenglin Li, 2020, The Journal of the Acoustical Society of America.

Eastern Arctic ambient noise on a drifting vertical array.

P. Worcester, P. Gerstoft, A. Thode, 2017, The Journal of the Acoustical Society of America.

Deep-learning source localization using multi-frequency magnitude-only data.

Peter Gerstoft, Haibin Wang, Zhenglin Li, 2019, The Journal of the Acoustical Society of America.

Unsupervised clustering of coral reef bioacoustics pdf

Emma Ozanich, Peter Gerstoft, Lauren A. Freeman, 2020, ArXiv.

A Deep Network for Single-Snapshot Direction of Arrival Estimation

Emma Ozanich, Peter Gerstoft, Haiqiang Niu, 2019, 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP).