Titre :

A text-dependent speaker-recognition system

Auteur(s) :

Ishac, Dany [Auteur]
University of Balamand [Liban] [UOB]
Abche, Antoine [Auteur]
University of Balamand [Liban] [UOB]
Karam, Elie [Auteur]
University of Balamand [Liban] [UOB]
Nassar, Georges [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Matériaux et Acoustiques pour MIcro et NAno systèmes intégrés - IEMN [MAMINA - IEMN]
Debavelaere-Callens, Dorothée [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Matériaux et Acoustiques pour MIcro et NAno systèmes intégrés - IEMN [MAMINA - IEMN]

Titre de la manifestation scientifique :

IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

Ville :

Torino

Pays :

Italie

Date de début de la manifestation scientifique :

2017-05-22

Titre de l’ouvrage :

IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

Titre de la revue :

Proceedings of 2017 IEEE International Instrumentation and Measurement Technology Conference, IEEE I2MTC 2017

Éditeur :

IEEE

Date de publication :

2017

Mot(s)-clé(s) en anglais :

Voice recognition
speaker identification
STFT
collar
piezoelectric transducer

Discipline(s) HAL :

Sciences de l'ingénieur [physics]
Physique [physics]

Résumé en anglais : [en]

In this work, a voice recognition approach is developed and presented. It is a based on acquiring the signal of vocal cords' vibrations of a person using a piezoelectric transducer element attached on a collar wrapped ...
Lire la suite >In this work, a voice recognition approach is developed and presented. It is a based on acquiring the signal of vocal cords' vibrations of a person using a piezoelectric transducer element attached on a collar wrapped around the neck. The recognition is then based on the vocal cords vibrations' pressure of the individuals and not their normal voices. Due to the varying nature of the collected signal, the analysis was performed by applying the Short Term Fourier Transform technique to decompose the signal into its frequency components. These frequencies represent the vocal folds vibrations' frequencies (100-1000 Hz). The features in terms of frequencies' interval are extracted from the resulting spectrogram. Then, 1-D vector is formed for identification purposes. The person's identification is performed using the correlation coefficient as a similarity measure. The results show that a high percentage of recognition is achieved and the performance is much better than many existing techniques in the literature.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL