ALGORITMA PENGHAPUS DERAU/SILENCE DAN PENENTUAN ENDPOINT DENGAN NILAI AMBANG TERBOBOT UNTUK SINYAL SUARA

  • Syahroni Hidayat
  • Uswatun Hasanah
  • Ahmad Ashril Rizal
Keywords: Automatic Speeh Recognition, silence remover, endpoint detection, weighted value

Abstract

In automatic speech recognition, the accuracy of recognition depends on the accuracy of endpoint detection of speech signal. There are several methods commonly used, such as short time energy-zero crossing rate, statistics and hybrid. However, these methods have limitations in determining the threshold value, the range of methods and computational efficiency. Therefore, we need a method that can solve these problems one of them by modifying the threshold value. The threshold value is modified such that its value increase four time from its initial value after multiplied by the weight. The results shows this novel method provides high accuracy on silence remover and end point detection although some data were missing.

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Published
2016-10-29
Section
Articles