INSTITUTE OF STATISTICAL STUDIES AND RESEARCH, CAIRO UNIVERSITY EGYPT SOUND RECOGNITION USING NEURAL NETWORK TECHNIQUES
Hasan Mokhtar Omara;
Abstract
In this thesis, an intelligent sound recognition system is developed to recognize source objects by their emitting sounds. Input sounds are preprocessed using Wavelet Transform method to obtain feature vectors. Two different wavelet analyses; Continuous a
Other data
| Title | INSTITUTE OF STATISTICAL STUDIES AND RESEARCH, CAIRO UNIVERSITY EGYPT SOUND RECOGNITION USING NEURAL NETWORK TECHNIQUES | Authors | Hasan Mokhtar Omara | Keywords | INSTITUTE OF STATISTICAL STUDIES AND RESEARCH, CAIRO UNIVERSITY EGYPT SOUND RECOGNITION USING NEURAL NETWORK TECHNIQUES | Issue Date | 2008 | Description | In this thesis, an intelligent sound recognition system is developed to recognize source objects by their emitting sounds. Input sounds are preprocessed using Wavelet Transform method to obtain feature vectors. Two different wavelet analyses; Continuous a |
Attached Files
| File | Size | Format | |
|---|---|---|---|
| 74327r797.pdf | 39.34 kB | Adobe PDF | View/Open |
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