Optimization of Frequency Lowering Algorithms for Getting the Highest Speech Intelligibility Improvement by Hearing Loss Simulation.

High frequency hearing loss is a growing problem for both children and adults. To overcome this impairment, different frequency lowering methods (FLMs) were tried from 1930s, however no satisfaction was provided up to now. In this study, for getting higher speech intelligibility, eight combinations...

Descripción completa

Detalles Bibliográficos
Publicado en:Journal of Medical Systems Vol. 39; no. 6; pp. 1 - 11
Autores principales: Arıöz, Umut, Günel, Banu
Formato: research tables/charts Journal Article
Publicado: Springer Nature Jun2015
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=115925110&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 115925110
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01485598
        4N0
      jtl: Journal of Medical Systems
      issn: 01485598
      maglogo: N
    pubinfo:
      dt: Jun2015
      vid: 39
      iid: 6
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        115925110
        115925110
        115925110
        10.1007/s10916-015-0248-9
        115925110
      ppf: 1
      ppct: 10
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Optimization of Frequency Lowering Algorithms for Getting the Highest Speech Intelligibility Improvement by Hearing Loss Simulation.
      aug:
        au:
          Arıöz, Umut
          Günel, Banu
        affil: Computer Engineering, Engineering Faculty, Gazi University, Room No: 116 Eti Mh. Yükseliş St. No: 5 Maltepe Ankara Turkey
      sug:
        subj:
          Algorithms
          Speech Intelligibility
          Simulations
          Hearing Loss, High-Frequency Therapy
          Assistive Listening Systems
          Hearing Aids
          Questionnaires
          Noise
          Human
          Descriptive Statistics
          Audiometry
          Turkiye
          Male
          Female
          Analysis of Variance
          Data Analysis Software
          Environment
          Male
          Female
      ab: High frequency hearing loss is a growing problem for both children and adults. To overcome this impairment, different frequency lowering methods (FLMs) were tried from 1930s, however no satisfaction was provided up to now. In this study, for getting higher speech intelligibility, eight combinations of FLMs which were designed originally were tried with simulated sounds onto normal hearing subjects. These improvements were calculated by the difference with standard hearing aid method, amplification. High frequency hearing loss was simulated with the combined suprathreshold effects. An offline study was carried out for each subject for determining the significant methods used in modified rhyme test (MRT) (Subjective measure for intelligibility). Significant methods were determined according to their speech intelligibility index (SII) (Objective measure for intelligibility). All different cases were tried under four noisy environments and a noise free environment. Twelve hearing impaired subjects were simulated by hearing loss simulation (HLS). MRT was developed for Turkish language as a first time. As the results of improvements, total 71 cases were statistically significant for twelve subjects. Eighty-three percent success of FLMs was achieved against amplification for being an alternative method of amplification in noisy environments. For four subjects, all significant methods gave higher improvements than amplification. As conclusion, specific method recommendations for different noisy environments were done for each subject for getting more speech intelligibility.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N