Speech Recognition System using Burg Method and Discrete Wavelet Transform

被引：0
|
作者：
Maazouzi, A. [1 ]
Laaroussi, A.
Aqili, N.
Raji, M.
Hammouch, A.
机构：
[1] Mohammed V Univ Rabat, ENSET, LRGE, Rabat, Morocco
来源：
2016 INTERNATIONAL CONFERENCE ON ELECTRICAL AND INFORMATION TECHNOLOGIES (ICEIT) | 2016年
关键词：
Automatic speech recognition; Discrete Wavelet Transform; Power Sprectrum Density; cosine similarity;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This work presents an automatic recognition system of the English spoken digits using a parametric method of power spectrum density estimation. The signal is pre-processed by using the endpoint detection algorithm and then we apply the Discrete Wavelet Transform to extract the approximation coefficients. Burg algorithm is then applied to estimate the power spectrum density. At the stage of matching, the similarity measurements between signals are used to this purpose. The developed algorithm gives a good accuracy rate.
引用
收藏
页码：250 / 254
页数：5
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