Thesis etd-02142017-195152 |
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Thesis type
Tesi di laurea magistrale
URN
etd-02142017-195152
Thesis title
Automatic Phoneme Recognition using Mel-Frequency Cepstral Coefficient and Dynamic Time Warping
Department
INFORMATICA
Course of study
INFORMATICA E NETWORKING
Supervisors
.
relatore Buttazzo, Giorgio C.
Keywords
- Dynamic Time Warping
- Mel-Frequency Cepstral Coefficient
- Speech Recognition
Graduation session start date
03/03/2017
Availability
Full
Abstract (Inglese)
Abstract (Italiano)
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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| Sabbir_thesis.pdf | 4.22 Mb |
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