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Faculty of Computing and Information Technology
Document Details
Document Type
:
Article In Conference
Document Title
:
Improving the Recognition of Noisy Arabic Speech Via Wavelet Compression
تحسين عملية التعرف على الكلام العربي المشوش عن طريق ضغط المويجات
Document Language
:
English
Abstract
:
This paper presents a method that uses the wavelet transform in compressing a noisy speech signal and then, testing its effect on the reconstruction of noisy Arabic speech utterances after decompression. The ability of wavelets in compacting signal energy is employed to separate the significant signal features from the noise contribution. The technique showed an improved SNR for the processed speech samples. In each experiment performed, the correlation coefficients are computed and compared to the correlation coefficient yielded by a similar compression scheme based on the Fourier transform. The use of the wavelet-based compression technique is superior in improving the recognition of speech signals especially at high input SNR values
Conference Name
:
The 17th National Conference for Computers
Duration
:
From : 15 صفر- 1425 AH - To : 18صفر- 1425 AH
From : 5 أبريل - 2004 AD - To : 8 أبريل - 2004 AD
Publishing Year
:
1425 AH
2004 AD
Number Of Pages
:
8
Article Type
:
Article
Conference Place
:
Al-Madinah Al-Munawwarah, Saudi Arabia
Organizing Body
:
KING ABDULAZIZ UNIVERSITY
Added Date
:
Saturday, June 23, 2012
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
عبدالله احمد باسهيل
Basuhail, Abdullah Ahmad
Investigator
Doctorate
abasuhail@yahoo.com
Files
File Name
Type
Description
33730.pdf
pdf
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