@inproceedings{ffc4b09490834c8c89a85a51addc8f21,
title = "Offline Noise Reduction Using Optimal Mass Transport Induced Covariance Interpolation",
abstract = "In this work, we propose to utilize a recently developed covariance matrix interpolation technique in order to improve noise reduction in multi-microphone setups in the presence of a moving, localized noise source. Based on the concept of optimal mass transport, the proposed method induces matrix interpolants implying smooth spatial displacement of the noise source, allowing for physically reasonable reconstructions of the noise source trajectory. As this trajectory is constructed as to connect two observed, or estimated, covariance matrices, the proposed method is suggested for offline applications. The performance of the proposed method is demonstrated using simulations of a speech enhancement scenario.",
keywords = "Covariance matrices, Interpolation, Noise reduction, Noise measurement, Speech enhancement, Microphones, Europe",
author = "Filip Elvander and Randall Ali and Andreas Jakobsson and Waterschoot, \{Toon van\}",
year = "2019",
month = sep,
day = "6",
doi = "10.23919/EUSIPCO.2019.8903159",
language = "English",
isbn = "978-1-5386-7300-3",
series = "European Signal Processing Conference",
publisher = "IEEE",
pages = "1--5",
booktitle = "2019 27th European Signal Processing Conference (EUSIPCO)",
address = "United States",
note = "European Signal Processing Conference, EUSIPCO ; Conference date: 02-09-2019 Through 06-09-2019",
}