Tesi etd-02142017-195152 |
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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
Dipartimento
INFORMATICA
Corso di studi
INFORMATICA E NETWORKING
Relatori
relatore Buttazzo, Giorgio C.
Parole chiave
- Dynamic Time Warping
- Speech Recognition
- Mel-Frequency Cepstral Coefficient
Data inizio appello
03/03/2017
Consultabilità
Completa
Riassunto
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.
File
| Nome file | Dimensione |
|---|---|
| Sabbir_thesis.pdf | 4.22 Mb |
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