Using PCA algorithm in voice recognition
Küçük Resim Yok
Tarih
2012
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
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.
Açıklama
Anahtar Kelimeler
K-means, Principal component analysis (PCA), Support vector machine (SVM), Voice processing, Voice recognition
Kaynak
Energy Education Science and Technology Part A: Energy Science and Research
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
30
Sayı
SPEC .ISS.1
