img
Using PCA algorithm in voice recognition    
Yazarlar
Doç. Dr. Salih GÖRGÜNOĞLU
Kastamonu Üniversitesi, Türkiye
Emrah Ozkaynak
Karabük Üniversitesi, Turkey
Ihami Muharrem Orak
Karabük Üniversitesi, Turkey
Özet
Voice is a biometric feature that is used to distinguish or to identify human beings or species. Origin of the existing voice can be determined by analyzing the sound signal. Since voice of the human beings has disparities, it can be used for recognizing people. Various devices or machines are also controlled by voice commands obtained from the words out of the sound signal from one's speeches. In this study, Principal Component Analysis (PCA) algorithm which is mostly used in face recognition system is investigated for voice recognition purposes. PCA algorithm along with Support Vector Machines (SVMs) and K-means algorithms are realized for voice recognition and also their performances are compared. It is shown that PCA algorithm can be used as alternative to the well known voice recognition algorithms © Sila Science.
Anahtar Kelimeler
K-means | Principal component analysis (PCA) | Support vector machine (SVM) | Voice processing | Voice recognition
Makale Türü Özgün Makale
Makale Alt Türü SCOPUS dergilerinde yayımlanan tam makale
Dergi Adı Energy Education Science and Technology Part A: Energy Science and Research
Dergi ISSN 1308-772X
Dergi Tarandığı Indeksler EI Compendex, Scopus, Chemical Abstracts
Makale Dili İngilizce
Basım Tarihi 01-2012
Cilt No 30
Sayı 1
Sayfalar 759 / 764
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları

Paylaş