Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/2559
Title: Speaker Identification based on Vocal Cords Vibrations : Effect of the Window
Authors: Ishac, Dany
Abche, Antoine 
Nassar, Georges
Karam, Elie 
Callens, Dorothée
Affiliations: Department of Electrical Engineering 
Department of Electrical Engineering 
Keywords: Vocal cords vibration frequency
STFT
Barlett
Blackman
Hamming
Rectangular
Collar
Speaker identification
Subjects: Transducers
Issue Date: 2018
Publisher: SDIWC
Part of: International journal of digital information and wireless communications (IJDIWC)
Volume: 8
Issue: 1
Start page: 58
End page: 62
Abstract: 
A new speaker identification technique was proposed and presented. It is based on the acquisition of the individuals signal of its vocal cords vibrations by attaching a piezoelectric transducer element to a collar and wrapping it around the neck. Having collected the signal, the Short Term Fourier Transform (STFT), in conjunction with a particular window, is applied on the signal to decompose it into its frequency components. Then, the resulting spectrogram is normalized, the noise is removed and the corresponding features are extracted for identification purposes. The performance of the developed approach in conjunction with various windows types (the Bartlett, the Blackman, the Hamming, the Hanning and the Rectangular windows) and windows size is studied and evaluated quantitatively. The results show that the proposed approach using the Hamming window of size 64 yields the best accuracy in the identification of the desired individuals.
URI: https://scholarhub.balamand.edu.lb/handle/uob/2559
Open URL: Link to full text
Type: Journal Article
Appears in Collections:Department of Electrical Engineering

Show full item record

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.