Title :
Text dependent speaker recognition using discrete stationary wavelet transform and PCA
Author :
Jayakumar, Akshay ; Vimal Krishnan, V.R. ; Babu Anto, P.
Author_Institution :
Sch. of Inf. Sci. & Technol., Kannur Univ., Kannur, India
Abstract :
In this paper we present an effective and robust method for speaker identification based on discrete stationary wavelet transform and principal component analysis techniques. The time invariant characteristic of SWT is particularly used in this paper for Speaker recognition. We have selected PCA as it is a core of modern data analysis. For classification purpose we have used Artificial Neural Network. One hundred and fifty samples are collected from 10 different people at various time intervals for the initial study. Data base is created from a spoken language Malayalam.
Keywords :
discrete wavelet transforms; neural nets; principal component analysis; speaker recognition; text analysis; Malayalam language; artificial neural network; data analysis; discrete stationary wavelet transform; principal component analysis; text dependent speaker recognition; Application software; Artificial neural networks; Data analysis; Data mining; Discrete wavelet transforms; Feature extraction; Neurons; Principal component analysis; Speaker recognition; Wavelet analysis; DSWT; PCA; Speaker recognition;
Conference_Titel :
Current Trends in Information Technology (CTIT), 2009 International Conference on the
Conference_Location :
Dubai
Print_ISBN :
978-1-4244-5754-0
Electronic_ISBN :
978-1-4244-5756-4
DOI :
10.1109/CTIT.2009.5423125
