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Tesi etd-02142017-195152


Tipo di tesi
Tesi di laurea magistrale
Autore
AHMED, MD SABBIR
URN
etd-02142017-195152
Titolo
Automatic Phoneme Recognition using Mel-Frequency Cepstral Coefficient and Dynamic Time Warping
Struttura
INFORMATICA
Corso di studi
INFORMATICA E NETWORKING
Commissione
relatore Buttazzo, Giorgio C.
Parole chiave
  • Dynamic Time Warping
  • Speech Recognition
  • Mel-Frequency Cepstral Coefficient
Data inizio appello
03/03/2017;
Disponibilità
completa
Riassunto analitico
A phoneme recognition process is performed by using the Mel-Frequency Cepstral Coefficient (MFCC) feature extraction technique and an unknown test pattern is compared with the pre-recorded reference pattern by using the Dynamic Time Warping (DTW) algorithm to determine the similarity between them.


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