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Development of Isolated Word Speech Recognition System
Volume 13, Issue 1 (2002), pp. 37–46
Antanas Lipeika   Joana LipeikienÄ—   Laimutis Telksnys  

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https://doi.org/10.3233/INF-2002-13103
Pub. online: 1 January 2002      Type: Research Article     

Received
1 September 2001
Published
1 January 2002

Abstract

The isolated word speech recognition system based on dynamic time warping (DTW) has been developed. Speaker adaptation is performed using speaker recognition techniques. Vector quantization is used to create reference templates for speaker recognition. Linear predictive coding (LPC) parameters are used as features for recognition. Performance is evaluated using 12 words of Lithuanian language pronounced ten times by ten speakers.

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Keywords
speech recognition speaker recognition dynamic time warping vector quantization LPC features

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INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
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