@inproceedings{7e129bd3e9e443fdbe6750919b5e622d,
title = "Motion-tolerant beamforming with deformable microphone arrays",
abstract = "Microphone arrays are usually assumed to have rigid geometries: the microphones may move with respect to the sound field but remain fixed relative to each other. However, many useful arrays, such as those in wearable devices, have sensors that can move relative to each other. We compare two approaches to beamforming with deformable microphone arrays: first, by explicitly tracking the geometry of the array as it changes over time, and second, by designing a time-invariant beamformer based on the second-order statistics of the moving array. The time-invariant approach is shown to be appropriate when the motion of the array is small relative to the acoustic wavelengths of interest. The performance of the proposed beamforming system is demonstrated using a wearable microphone array on a moving human listener in a cocktail-party scenario.",
keywords = "Microphone arrays, array processing, audio enhancement, hearing aids, wearables",
author = "Corey, {Ryan M.} and Singer, {Andrew C.}",
note = "Funding Information: This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under grant no. DGE-1144245. Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2019 ; Conference date: 20-10-2019 Through 23-10-2019",
year = "2019",
month = oct,
doi = "10.1109/WASPAA.2019.8937147",
language = "English (US)",
series = "IEEE Workshop on Applications of Signal Processing to Audio and Acoustics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "115--119",
booktitle = "2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2019",
address = "United States",
}