Offline Noise Reduction Using Optimal Mass Transport Induced Covariance Interpolation

Filip Elvander, Randall Ali, Andreas Jakobsson, Toon van Waterschoot

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review


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.
Original languageEnglish
Title of host publication27th European Signal Processing Conference, EUSIPCO 2019
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)978-9-0827-9703-9
ISBN (Print)978-1-5386-7300-3
Publication statusPublished - 2019 Nov 18
Event27th European Signal Processing Conference (EUSIPCO) - A Coruna, Spain
Duration: 2019 Sept 22019 Sept 6


Conference27th European Signal Processing Conference (EUSIPCO)
CityA Coruna

Subject classification (UKÄ)

  • Signal Processing


Dive into the research topics of 'Offline Noise Reduction Using Optimal Mass Transport Induced Covariance Interpolation'. Together they form a unique fingerprint.

Cite this