Proceedings of the 1st Int. Conference on Challenges in Hearing Assistive Technology (CHAT-17), Stockholm, Sweden, August 19, 2017 [Stockholm?] : Verlag nicht ermittelbar, 2017 (2017), Seite 101-106
Proceedings of the 1st Int. Conference on Challenges in Hearing Assistive Technology (CHAT-17), Stockholm, Sweden, August 19, 2017 [Stockholm?] : Verlag nicht ermittelbar, 2017 (2017), Seite 3-8
IEEE International Conference on Acoustics, Speech, and Signal Processing (41. : 2016 : Schanghai) 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing Piscataway, NJ : IEEE, 2016 (2016), Seite 6500-6504 1 Online-Ressource
IEEE International Conference on the Science of Electrical Engineering (2016 : Elat) 2016 IEEE International Conference on the Science of Electrical Engineering (ICSEE) Piscataway, NJ : IEEE, 2016 (2016), insges. 5 S. 1 Online-Ressource
IEEE International Conference on Acoustics, Speech, and Signal Processing (41. : 2016 : Schanghai) 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing Piscataway, NJ : IEEE, 2016 (2016), Seite 241-245 1 Online-Ressource
Modern binaural hearing aids utilize multimicrophone speech enhancement algorithms to enhance signals in terms of signal-to-noise ratio, but they may distort the interaural cues that allow the user to localize sources, in particular, suppressed interfering sources or background noise. In this paper, we present a novel algorithm that enhances the target signal while aiming to maintain the correct spatial rendering of both the target signal as well as the background noise. We use a bimodal approach, where a signal-to-noise ratio (SNR) estimator controls a binary decision mask, switching between the output signals of a binaural minimum variance distortionless response (MVDR) beamformer and scaled reference microphone signals. We show that the proposed selective binaural beamformer (SBB) can enhance the target signal while maintaining the overall spatial rendering of the acoustic scene.
European Association for Speech, Signal and Image Processing EURASIP journal on advances in signal processing Heidelberg : Springer, 2007 (2016), 12, insgesamt 11 Seiten Online-Ressource
Institute of Electrical and Electronics Engineers IEEE ACM transactions on audio, speech, and language processing New York, NY : IEEE, 2014 23(2015), 12, Seite 2384-2397 Online-Ressource