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  <responseDate>2026-06-10T07:50:52Z</responseDate>
  <request verb="GetRecord" identifier="oai:meral.edu.mm:recid/2094" metadataPrefix="oai_dc">https://meral.edu.mm/oai</request>
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      <header>
        <identifier>oai:meral.edu.mm:recid/2094</identifier>
        <datestamp>2021-12-13T03:17:00Z</datestamp>
        <setSpec>1582963390870:1582967549708</setSpec>
        <setSpec>user-uy</setSpec>
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        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns="http://www.w3.org/2001/XMLSchema" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Spectral Analysis on Voices of Myanmar Characters and Words</dc:title>
          <dc:creator>Ye Chan</dc:creator>
          <dc:creator>Win Win Kyi</dc:creator>
          <dc:description>Voices of Myanmar characters and words have been analysed in either the temporal domain or the frequency domain. The voice samples have been captured by the built-in sound card of personal computer (PC) with sampling rate of 44.1 kHz accompanying with microphone while running LabVIEW. The Fast Fourier Transform (FFT) technique has been used to calculate the spectrum from a signal. It provides a measure of the frequencies found in a given segment of a signal by decomposing it into its sine components. Furthermore, it allows for pitch extraction and the identification of fundamental frequencies, which is an essential component of the experiment. The programme developed uses the necessary tools to record, filter, and analyse different voice samples of some Myanmar characters and words.</dc:description>
          <dc:date>2008</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000002094</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/2094</dc:identifier>
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