<?xml version="1.0"?>
<Articles JournalTitle="Auditory and Vestibular Research">
  <Article>
    <Journal>
      <PublisherName>Tehran University of Medical Sciences</PublisherName>
      <JournalTitle>Auditory and Vestibular Research</JournalTitle>
      <Issn>2423-480X</Issn>
      <Volume>24</Volume>
      <Issue>3</Issue>
      <PubDate PubStatus="epublish">
        <Year>2015</Year>
        <Month>10</Month>
        <Day>04</Day>
      </PubDate>
    </Journal>
    <title locale="en_US">Auditory recognition of Persian digits in multi-talker babble noise: a preliminary study</title>
    <FirstPage>134</FirstPage>
    <LastPage>140</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Mina</FirstName>
        <LastName>Heidari</LastName>
        <affiliation locale="en_US">Department of Audiology, School of Rehabilitation, Shahid Beheshti University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Mohammad Ebrahim</FirstName>
        <LastName>Mahdavi</LastName>
        <affiliation locale="en_US">Department of Audiology, School of Rehabilitation, Shahid Beheshti University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Fatemeh</FirstName>
        <LastName>Heidari</LastName>
        <affiliation locale="en_US">Department of Audiology, School of Rehabilitation, Shahid Beheshti University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Alireza</FirstName>
        <LastName>Akbarzadeh Baghban</LastName>
        <affiliation locale="en_US">Department of Basic Sciences in Rehabilitation, School of Rehabilitation, Shahid Beheshti University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
    </AuthorList>
    <History>
      <PubDate PubStatus="received">
        <Year>2015</Year>
        <Month>10</Month>
        <Day>04</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2015</Year>
        <Month>10</Month>
        <Day>04</Day>
      </PubDate>
    </History>
    <abstract locale="en_US">Background and Aim: Digits are suitable materials for hearing assessment of wide range of patients including children and adults with various language abilities. Single monosyllabic 1-10 digits in triplet formant have been used for measuring speech recognition threshold in signal-to-noise ratio. The purpose of this study was to determine signal-to-noise ratio (SNR) needed for 50 percent correct recognition of Persian monosyllabic digits (1-10) in multi-talker babble noise.
Methods: Thirty unique triplet set of nine 1-10 monosyllabic Persian digits were created and mixed with multi-talker babble noise. Signal-to-noise ratio varied from -18 to +3 dB in 3-dB steps.&#xA0; Digits were presented binaurally to 17 normal hearing young adults aged 18-25 years. Speech recognition threshold in SNR (SRTsnr) was measured by Spearman-Karber equation and probit regression method.
Results: Mean SRTsnr of Persian digits, had minimum value of -12.7 dB for digit 3 and maximum value of -6.8 dB for digit 9. Mean (standard deviation) of SRTsnr was -9.5 (2.1) dB. There was no statistically significant difference between mean SRTsnr of the males and the females for all digits (p&gt;0.05).
Conclusion: Persian 1-10 monosyllabic digits are not homogeneous in terms of SNR needed for reaching 50% correct recognition. Mean SRTsnr of Persian digits is comparable to German and Polish digits but is higher than English digits.</abstract>
    <web_url>https://avr.tums.ac.ir/index.php/avr/article/view/14</web_url>
    <pdf_url>https://avr.tums.ac.ir/index.php/avr/article/download/14/13</pdf_url>
  </Article>
</Articles>
