Spoken Arabic Digits Recognition Using Discrete Wavelet

被引：4

作者：

Elrgaby, Mohammed ^{[1
]}

Amoura, Abdwahab ^{[1
]}

Ganoun, Ali ^{[1
]}

机构：

[1] Univ Tripoli, Facil Engn, Tripoli, Libya

来源：

2014 UKSIM-AMSS 16TH INTERNATIONAL CONFERENCE ON COMPUTER MODELLING AND SIMULATION (UKSIM) | 2014年

关键词：

Wavelet; Discrete Wavelet; Spoken Digits; Speech Recognition;

D O I：

10.1109/UKSim.2014.69

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, we propose a scheme for recognizing isolated spoken Arabic digits, based on the Discrete Wavelet Transform (DWT) features. The Discrete Wavelet Transform is a transformation that can be used to analyze the temporal and spectral properties of non-stationary signals like audio, based on the time-frequency multi-resolution property of wavelet transform. In this paper, the extracted wavelet coefficients from audio speech used in the recognition of spoken Arabic Digits. The performance of the Discrete Wavelet Transform as recognition features for recognizing spoken Arabic digits is considered for different scales of wavelet signal and different Wavelet families. In general, the recognition of spoken Arabic digits with Daubechies wavelet family is more efficient than all other tested wavelet families. In our experiments we note that the recognition performance of spoken Arabic digits using wavelet family is not very effective.

引用

页码：275 / 279

页数：5