An adaptive beamformer for behind-the-ear dual-microphone hearing aids has been optimized for speech intelligibility enhancement in the presence of disturbing sounds or noise. The noise reduction approach is based on the scheme presented by Vanden Berghe and Wouters (1998). A real-time implementation of the signal processing is realized in Audallion, a wearable, small digital signal processing (DSP) platform. After physical evaluation, speech-in-noise intelligibility tests have been carried out on three normally-hearing and two hearing-impaired subjects. A significant speech reception threshold improvement of 11.3 dB was obtained in a moderately reverberant environment for one jammer sound source (steady speech-weighted noise or multi-talker babble) in a direction of 90 degrees relative to the direction of the speech.
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http://dx.doi.org/10.3109/14992020209090417 | DOI Listing |
Sensors (Basel)
September 2020
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
The quality and intelligibility of the speech are usually impaired by the interference of background noise when using internet voice calls. To solve this problem in the context of wearable smart devices, this paper introduces a dual-microphone, bone-conduction (BC) sensor assisted beamformer and a simple recurrent unit (SRU)-based neural network postfilter for real-time speech enhancement. Assisted by the BC sensor, which is insensitive to the environmental noise compared to the regular air-conduction (AC) microphone, the accurate voice activity detection (VAD) can be obtained from the BC signal and incorporated into the adaptive noise canceller (ANC) and adaptive block matrix (ABM).
View Article and Find Full Text PDFAnnu Int Conf IEEE Eng Med Biol Soc
July 2018
In this paper, we present an improved version of a Speech source Iocalization method for Direction of Arrival (DOA) estimation using only two microphones. We also present a real-time Android application on a latest smartphone to help improve the spatial awareness of hearing impaired users. Unlike earlier methods, the proposed method is computationally more efficient and fully adaptive to dynamically changing background noise.
View Article and Find Full Text PDFJ Am Acad Audiol
October 2018
Children's Ear, Nose and Throat Specialists, Children's Hospital Medical Office Building, Knoxville, TN.
Background: Cochlear implant (CI) users are affected more than their normal hearing (NH) peers by the negative consequences of background noise on speech understanding. Research has shown that adult CI users can improve their speech recognition in challenging listening environments by using dual-microphone beamformers, such as adaptive directional microphones (ADMs) and wireless remote microphones (RMs). The suitability of these microphone technologies for use in children with CIs is not well-understood nor widely accepted.
View Article and Find Full Text PDFInt J Audiol
April 2017
a Cochlear Limited , Melbourne , Australia.
Objective: To investigate clinical outcomes and subjective ratings of the Kanso™ off-the-ear (OTE) cochlear implant sound processor.
Design: Prospective, within-subject design investigating outcomes with a range of single and dual-microphone programmes for Kanso compared to conventional behind-the-ear (BTE) sound processors.
Study Sample: Twenty post-lingually hearing-impaired cochlear implant recipients who were experienced Nucleus® 5 or Nucleus® 6 BTE users.
Otol Neurotol
June 2012
Hearts for Hearing, Oklahoma City, Oklahoma, USA.
Objective: Previous research shows that cochlear implant users experience significant difficulty with speech perception in noisy listening situations. There is a paucity of research evaluating the potential improvement in speech recognition in noise provided by a dual-microphone directional system in a commercial implant sound processor. The primary objective of this study was to compare speech recognition in quiet and in noise for the Nucleus Freedom and Nucleus 5 CP810 sound processors set to the manufacturer's default user programs for quiet and noisy environments.
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