Title :
Noise reduction algorithms for digital hearing aids
Author :
Whitmal, Nathaniel A. ; Rutledge, Janet C.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
Abstract :
Speech intelligibility is reduced for most listeners in the presence of background noise. Hearing-impaired listeners face special difficulties in noise which are often exacerbated by conventional analog hearing aids. Noise reduction techniques based on waveform representations, while improving signal-to-noise ratio (SNR), produce only modest intelligibility gains. A new approach based on time-varying parametric modeling is proposed
Keywords :
hearing aids; conventional analog hearing aids; digital hearing aids; hearing-impaired listeners; noise reduction algorithms; noise reduction techniques; signal-to-noise ratio; speech intelligibility reduction; time-varying parametric modeling; waveform representations; Auditory system; Background noise; Hearing aids; Noise cancellation; Noise level; Noise reduction; Signal processing algorithms; Signal to noise ratio; Speech enhancement; Wiener filter;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.415439
