Print Email Facebook Twitter Improved multi-microphone noise reduction preserving binaural cues Title Improved multi-microphone noise reduction preserving binaural cues Author Koutrouvelis, A. (TU Delft Signal Processing Systems) Hendriks, R.C. (TU Delft Signal Processing Systems) Jensen, J (Aalborg University) Heusdens, R. (TU Delft Signal Processing Systems) Contributor Dong, Min (editor) Zheng, Thomas Fang (editor) Date 2016-05-19 Abstract We propose a new multi-microphone noise reduction technique for binaural cue preservation of the desired source and the interferers. This method is based on the linearly constrained minimum variance (LCMV) framework, where the constraints are used for the binaural cue preservation of the desired source and of multiple interferers. In this framework there is a trade-off between noise reduction and binaural cue preservation. The more constraints the LCMV uses for preserving binaural cues, the less degrees of freedom can be used for noise suppression. The recently presented binaural LCMV (BLCMV) method and the optimal BLCMV (OBLCMV) method require two constraints per interferer and introduce an additional interference rejection parameter. This unnecessarily reduces the degrees of freedom, available for noise reduction, and negatively influences the trade-off between noise reduction and binaural cue preservation. With the proposed method, binaural cue preservation is obtained using just a single constraint per interferer without the need of an interference rejection parameter. The proposed method can simultaneously achieve noise reduction and perfect binaural cue preservation of more than twice as many interferers as the BLCMV, while the OBLCMV can preserve the binaural cues of only one interferer. Subject noise reductionLCMVbinaural cue preservation,auditory systemmicrophoneshearing aidsInterferenceNickeloptimization To reference this document use: http://resolver.tudelft.nl/uuid:01c57134-0988-424f-92ba-752fd993680b DOI https://doi.org/10.1109/icassp.2016.7471717 Publisher IEEE, Danvers, MA ISBN 978-1-4799-9988-0 Source 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): Proceedings Event 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, 2016-03-20 → 2016-03-25, Shanghai International Convention Center, Shanghai, China Bibliographical note Accepted Author Manuscript Part of collection Institutional Repository Document type conference paper Rights © 2016 A. Koutrouvelis, R.C. Hendriks, J Jensen, R. Heusdens Files PDF koutrouvelis_icassp_2016.pdf 315.13 KB Close viewer /islandora/object/uuid:01c57134-0988-424f-92ba-752fd993680b/datastream/OBJ/view