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An intelligent hearing aid system based on real-time signal processing

  • Yao Chen
  • , Yangjie Wei
  • , Nan Guan
  • , Yi Wang

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

A hearing aid, worn in or around a wearer's ear, is an electroacoustic device to block noise and enhance target sound signal for the wearer. However, there is no method in traditional hearing aids that can automatically separate noise from a received signal mixture. Especially when the backing round is complex, amplified sound by a traditional hearing aid is still a multi-source mixture, and its wearer could not extract the target sound as expected. In this paper, a smart hearing aid system is proposed, consisting of an acoustic property modeling module, an acoustic source separation module and a target source recognition module. The proposed solution can automatically separate an acoustic source and thus enhance the target speaker's sound and filter the other sounds. Experiments with three sources has been conducted and the results show the feasibility and validity of our intelligent hearing aid.
Original languageEnglish
Title of host publicationProceedings - 2nd IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2014
PublisherIEEE
Pages55-58
ISBN (Print)9781479953875
DOIs
Publication statusPublished - 18 Nov 2014
Externally publishedYes
Event2nd IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2014 - Hong Kong, China
Duration: 25 Aug 201426 Aug 2014

Conference

Conference2nd IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2014
PlaceChina
CityHong Kong
Period25/08/1426/08/14

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • acoustic property modeling
  • acoustic separation
  • Intelligent hearing aid
  • speaker recognition

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