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| Titre: | Text dependent speaker recognition using HTK |
| Auteur(s): | Bouguerra, Sara
Sahmi, Nacera
Dahimene, Abdelhakim (supervisor) |
| Mots-clés: | Text dependent speaker recognition system
HTK (Hidden Markov Model Toolkit) |
| Date de publication: | 2016 |
| Résumé: | The objective of the project is to design a text dependent speaker recognition system
using HTK, the HTK toolkit is used essentially for speech recognition, after understanding
the theory of Hidden Markov Models, and the different processes HTK uses during
recognition, the principle of Log likelihood probability, and the language Model are linked
together to identify the speaker of an intended sentence chosen by the user and trained by
the speaker wanted to be recognized.
After several experiments, many threshold options were used, till arrived to the kinds
of threshold playing a major role in speaker identification, a method for choosing
thresholds has been formulated and it was applied for 10 speakers.
The method for speaker identification worked successfully for all speakers, and the
goal of recognizing a sentence that belongs to a particular speaker has been realized. |
| Description: | 60p. |
| URI/URL: | http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/10741 |
| Collection(s) : | Telecommunication
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