EKSTRAKSI CIRI SUARA UNTUK PENGENALAN IDENTITAS PEMBICARA MENGGUNAKAN MFCC DAN HIDDEN MARKOV MODELS
In this experiment developed a voice recognition system using Hidden Markov Models (HMM) type of left to right with Euclidean Distance-based method to calculate the probability of observation series. Sound recordings from 10 speakers, each saying the word "SAYA" 30 times. Each voice are sp...
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| Format: | Thesis |
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[Yogyakarta] : Universitas Gadjah Mada
2011
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