@inproceedings{face4eaa1571414aa76acdb5fbaa686c,
title = "Mechatronic Generation of Datasets for Acoustics Research",
abstract = "We address the challenge of making spatial audio datasets by proposing a shared mechanized recording space that can run custom acoustic experiments: a Mechatronic Acoustic Research System (MARS). To accommodate a wide variety of experiments, we implement an extensible architecture for wireless multi-robot coordination which enables synchronized robot motion for dynamic scenes with moving speakers and microphones. Using a virtual control interface, we can remotely design automated experiments to collect large-scale audio data. This data is shown to be similar across repeated runs, demonstrating the reliability of MARS. We discuss the potential for MARS to make audio data collection accessible for researchers without dedicated acoustic research spaces.",
keywords = "Audio recording, remote control, robotics, signal processing, source separation, speech processing",
author = "Austin Lu and Ethaniel Moore and Arya Nallanthighall and Kanad Sarkar and Manan Mittal and Corey, {Ryan M.} and Paris Smaragdis and Andrew Singer",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 17th International Workshop on Acoustic Signal Enhancement, IWAENC 2022 ; Conference date: 05-09-2022 Through 08-09-2022",
year = "2022",
doi = "10.1109/IWAENC53105.2022.9914771",
language = "English (US)",
series = "International Workshop on Acoustic Signal Enhancement, IWAENC 2022 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "International Workshop on Acoustic Signal Enhancement, IWAENC 2022 - Proceedings",
address = "United States",
}