• DocumentCode
    158097
  • Title

    An Intelligent Hearing Aid System Based on Real-Time Signal Processing

  • Author

    Yao Chen ; Yangjie Wei ; Nan Guan ; Yi Wang

  • Author_Institution
    Northeastern Univ., Shenyang, China
  • fYear
    2014
  • fDate
    25-26 Aug. 2014
  • Firstpage
    55
  • Lastpage
    58
  • 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.
  • Keywords
    acoustic radiators; acoustoelectric devices; hearing aids; medical signal processing; source separation; acoustic source separation module; electroacoustic device; intelligent hearing aid system; multisource mixture; real-time signal processing; smart hearing aid system; target sound signal; target source recognition module; Acoustics; Arrays; Auditory system; Microphones; Signal processing algorithms; Speech; Vectors; Intelligent hearing aid; acoustic property modeling; acoustic separation; speaker recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber-Physical Systems, Networks, and Applications (CPSNA), 2014 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/CPSNA.2014.18
  • Filename
    6961243