Print Email Facebook Twitter Low Complex Accurate Multi-Source RTF Estimation Title Low Complex Accurate Multi-Source RTF Estimation Author Li, C. (TU Delft Signal Processing Systems) Martinez, Jorge (TU Delft Electrical Engineering Education) Hendriks, R.C. (TU Delft Signal Processing Systems) Date 2022 Abstract Many multi-microphone algorithms depend on knowing the relative acoustic transfer functions (RTFs) of the individual sound sources in the acoustic scene. However, accurate joint RTF estimation for multiple sources is a challenging problem. Existing methods to jointly estimate the RTF for multiple sources have either no satisfying performance, or, suffer from a very large computational complexity. In this paper, we propose a method for robust estimation of the individual RTFs in a multi-source acoustic scenario. The presented algorithm is based on linear algebraic concepts and therefore of lower computational complexity compared to a recently presented state-of-the-art algorithm, while having a similar performance. Experimental results are presented to demonstrate the RTF estimation performance as well as the noise reduction performance when combining the estimated RTFs with a beamformer. Subject Joint diagonalizationmicrophone array signal processingsource separationRTF estimationspeech enhancement To reference this document use: http://resolver.tudelft.nl/uuid:b423776c-458c-4c16-8abe-43ef2dbd3241 DOI https://doi.org/10.1109/ICASSP43922.2022.9747170 Publisher IEEE, Piscataway Embargo date 2023-07-01 ISBN 978-1-6654-0541-6 Source Proceedings of the ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Event ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022-05-23 → 2022-05-27, Singapore, Singapore Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type conference paper Rights © 2022 C. Li, Jorge Martinez, R.C. Hendriks Files PDF Low_Complex_Accurate_Mult ... mation.pdf 1.03 MB Close viewer /islandora/object/uuid:b423776c-458c-4c16-8abe-43ef2dbd3241/datastream/OBJ/view