DocumentCode
1972079
Title
Practical MWF-based noise-reduction methods for binaural hearing aids
Author
Marin-Hurtado, Jorge I. ; Anderson, David V.
Author_Institution
Grupo de Procesamiento Digital de Senales y Procesadores (GDSPROC). Programa de Ing. Electron., Univ. del Quindio, Armenia, Colombia
fYear
2012
fDate
12-14 Sept. 2012
Firstpage
84
Lastpage
91
Abstract
Most hearing impaired people suffer from hearing loss in both ears, which is called a binaural hearing loss. To deal with these hearing losses, independent hearing aids have been typically used. However, psycho-acoustical studies using these prescriptions show that under hostile environments, e.g., babble noise at low SNR, people with a binaural hearing loss report an uncomfortable sound. In this sense, new generation hearing aids, called binaural hearing aids, have been proposed to include a wireless link to exchange information between both hearing devices. Although different noise-reduction methods have been proposed to be used in binaural hearing aids, they are impractical due to their hardware requirements such as computational complexity and wireless transmission bandwidth. In this paper, we propose binaural noise-reduction strategies based on multichannel Wiener filter (MWF) that reduces computational complexity and transmission bandwidth. The proposed strategy is compared to other existing MWF method, showing that our proposed method provides significant advantages.
Keywords
Wiener filters; acoustic signal processing; computational complexity; ear; hearing; hearing aids; medical signal processing; signal denoising; babble noise; binaural hearing aids; binaural noise-reduction methods; computational complexity; ears; hardware requirements; hearing devices; hearing impaired people; hearing loss; hostile environments; multichannel Wiener filter; practical MWF-based noise-reduction methods; psychoacoustical study; uncomfortable sound; wireless link; wireless transmission bandwidth; Auditory system; Bandwidth; Discrete wavelet transforms; Noise reduction; Signal to noise ratio; Speech; Binaural Hearing Aids; Multi-channel Wiener Filter (MWF); Noise Reduction; Perceptually-Inspired Processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Image, Signal Processing, and Artificial Vision (STSIVA), 2012 XVII Symposium of
Conference_Location
Antioquia
Print_ISBN
978-1-4673-2759-6
Type
conf
DOI
10.1109/STSIVA.2012.6340562
Filename
6340562
Link To Document