@inproceedings{73ebf7ed2faf4daba6868fa47baad91a,
title = "Maximum likelihood based multi-channel isotropic reverberation reduction for hearing aids",
abstract = "We propose a multi-channel Wiener filter for speech dereverberation in hearing aids. The proposed algorithm uses joint maximum likelihood estimation of the speech and late reverberation spectral variances, under the assumption that the late reverberant sound field is cylindrically isotropic. The dereverberation performance of the algorithm is evaluated using computer simulations with realistic hearing aid microphone signals including head-related effects. The algorithm is shown to work well with signals reverberated both by synthetic and by measured room impulse responses, achieving improvements in the order of 0.5 PESQ points and 5 dB frequency-weighted segmental SNR.",
author = "Adam Kuklasi{\'n}ski and Simon Doclo and Jensen, {S{\o}ren Holdt} and Jesper Jensen",
year = "2014",
language = "English",
isbn = "978-0-9928626-1-9",
series = "Proceedings of the European Signal Processing Conference",
publisher = "IEEE Press",
pages = "61--65",
booktitle = "Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European",
note = "22nd European Signal Processing Conference, EUSIPCO ; Conference date: 01-09-2014 Through 05-09-2014",
}