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  <titleInfo>
    <title>Fir filter for makhraj recognition system</title>
  </titleInfo>
  <titleInfo type="alternative">
    <title>Fir filter for makhraj recognition system</title>
  </titleInfo>
  <name type="personal">
    <namePart>Aimi Nadia Azmi</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">theses</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">my</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Kuantan, Pahang</placeTerm>
    </place>
    <publisher>UMP</publisher>
    <dateIssued>2010</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <form authority="gmd">computer file</form>
    <extent>xvi, 58 p. : ill. (some col.) ; 30 cm. + 1 computer disc</extent>
  </physicalDescription>
  <abstract>Audio and speech processing systems have steadily risen in importance in the everyday of most people in developed countries. Speech recognition is the process of converting an acoustic signal, captured by a microphone to a set of words. Recognition is generally more difficult when vocabularies are larger or have many similar-sounding words. There are some external parameters that can effects speech recognition system performance, including the characteristics of the environmental noise and the type and also the placement of the microphone.  A particular objective of the invention is to recognize the correct makhraj pronounce for the recognition analysis using pre-processing data base Matlab. In this project, speech processing for makhraj recognition is built using Finite Impulse Response (FIR) filter. The speech that was collects all of data from respondent. It requires the simultaneously recording of the speech wave as many parameters as possible. Then, get the correct makhraj pronounce example  (alif),  (ba),   (ta),   (tsa),  (jim),  (ha) and others. After that, the project will built using Matlab software</abstract>
  <targetAudience authority="marctarget">specialized</targetAudience>
  <note type="statement of responsibility">Aimi Nadia Azmi</note>
  <note>Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010</note>
  <note>Bibliography : p. 51-53</note>
  <subject authority="lcsh">
    <topic>Speech processing systems</topic>
  </subject>
  <identifier type="isbn">THE0007062(Local)</identifier>
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    <recordContentSource authority="marcorg">UMP</recordContentSource>
    <recordCreationDate encoding="marc">110718</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251114204501.0</recordChangeDate>
    <recordIdentifier source="KUKTEM">vtls000054770</recordIdentifier>
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