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Andrew C. Singer

8 accepted papers

2025

Estimating the Number and Locations of Boundaries in Reverberant Environments with Deep Learning

Toros Arikan, Luca M. Chackalackal, Fatima Ahsan, Konrad Tittel, Andrew C. Singer, Gregory W. Wornell +1
ICASSP 2025accepted

Underwater acoustic environment estimation is a challenging but important task for remote sensing scenarios. Current estimation methods require high signal strength and a solution to the fragile echo labeling problem to be effective. In previous publications, we proposed a general deep learning-base…

Cited by 0Source ↗Scholar ↗
2023

Immersive Enhancement and Removal of Loudspeaker Sound Using Wireless Assistive Listening Systems and Binaural Hearing Devices

Ryan M. Corey, Andrew C. Singer
ICASSP 2023accepted

Wireless assistive listening devices (ALDs), such as induction loops, radio-frequency transmitters, and digital streaming systems, improve accessibility for people with hearing loss by transmitting from a venue’s sound system directly to the listener. Today, ALDs are used primarily for lectures and…

Cited by 0Source ↗Scholar ↗
2023

Learning Environmental Structure Using Acoustic Probes with a Deep Neural Network

Toros Arikan, Amir Weiss, Hari Vishnu, Grant B. Deane, Andrew C. Singer, Gregory W. Wornell
ICASSP 2023accepted

Learning the physical environment is an important yet challenging task in reverberant settings such as the underwater and indoor acoustic domains. The locations of reflective boundaries, for example, can be estimated using echoes and leveraged for subsequent, more accurate localization. Current boun…

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2023

Towards Robust Data-Driven Underwater Acoustic Localization: A Deep CNN Solution with Performance Guarantees for Model Mismatch

Amir Weiss, Andrew C. Singer, Gregory W. Wornell
ICASSP 2023accepted

Key challenges in developing underwater acoustic localization methods are related to the combined effects of high reverberation in intricate environments. To address such challenges, recent studies have shown that with a properly designed architecture, neural networks can lead to unprecedented local…

Cited by 0Source ↗Scholar ↗
2022

Broadband Acoustic Communication Aided Underwater Inertial Navigation System

Jae Won Choi, Aseem Vivek Borkar, Andrew C. Singer, Girish Chowdhary
RA-L 2022

We present an underwater localization system for medium-sized Autonomous Underwater Vehicles (AUVs) that leverages a broadband wireless acoustic communication system for GPS-denied underwater localization. Many current acoustic localization systems assume a single line-of-sight path and use either n

Cited by 19Source ↗Scholar ↗