@inproceedings{e88dbc06e96b4231aeba9dfa0676bb2d,
title = "Cooperative Audio Source Separation and Enhancement Using Distributed Microphone Arrays and Wearable Devices",
abstract = "Augmented listening devices such as hearing aids often perform poorly in noisy and reverberant environments with many competing sound sources. Large distributed microphone arrays can improve performance, but data from remote microphones often cannot be used for delay-constrained real-time processing. We present a cooperative audio source separation and enhancement system that leverages wearable listening devices and other microphone arrays spread around a room. The full distributed array is used to separate sound sources and estimate their statistics. Each listening device uses these statistics to design real-time binaural audio enhancement filters using its own local microphones. The system is demonstrated experimentally using 10 speech sources and 160 microphones in a large, reverberant room.",
keywords = "Distributed microphone array, audio source separation, augmented listening, hearing aids, speech enhancement",
author = "Corey, {Ryan M.} and Skarha, {Matthew D.} and Singer, {Andrew C.}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 ; Conference date: 15-12-2019 Through 18-12-2019",
year = "2019",
month = dec,
doi = "10.1109/CAMSAP45676.2019.9022475",
language = "English (US)",
series = "2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "296--300",
booktitle = "2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings",
address = "United States",
}