Print Email Facebook Twitter Noise PSD Insensitive RTF Estimation in a Reverberant and Noisy Environment Title Noise PSD Insensitive RTF Estimation in a Reverberant and Noisy Environment Author Li, C. (TU Delft Signal Processing Systems) Hendriks, R.C. (TU Delft Signal Processing Systems) Date 2023 Abstract Spatial filtering techniques typically rely on estimates of the target relative transfer function (RTF). However, the target speech signal is typically corrupted by late reverberation and ambient noise, which complicates RTF estimation. Existing methods subtract the noise covariance matrix to obtain the target plus late reverberation covariance matrix, from where the RTF is estimated. However, the noise covariance matrix is typically unknown. More specifically, the noise power spectral density (PSD) is typically unknown, while the spatial coherence matrix can be assumed known as it might remain time-invariant for a longer time. Using the spatial coherence matrices we simplify the signal model such that the off-diagonal elements are not affected by the PSDs of the late reverberation and the ambient noise. Then we use these elements to estimate the target covariance matrix, from where the RTF can be obtained. Hence, the resulting estimate of the RTF is insensitive to the noise PSD. Experiments demonstrate the estimation performance of our proposed method. Subject RTF estimationspatial filterEigenvalue Decomposition To reference this document use: http://resolver.tudelft.nl/uuid:5ec319af-7e99-41e4-89e8-ea411c51da75 DOI https://doi.org/10.1109/ICASSP49357.2023.10094840 Publisher IEEE, Piscataway Embargo date 2023-11-05 ISBN 978-1-7281-6328-4 Source Proceedings of the ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Event 48th IEEE International Conference on Acoustics, Speech and Signal Processing 2023, 2023-06-04 → 2023-06-10, Rhodes Island, Greece 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 © 2023 C. Li, R.C. Hendriks Files PDF Noise_PSD_Insensitive_RTF ... onment.pdf 1.16 MB Close viewer /islandora/object/uuid:5ec319af-7e99-41e4-89e8-ea411c51da75/datastream/OBJ/view