Publication: Sound characterization and analysis using matlab™
Loading...
Date
2008-05-01
Authors
Lee, Phei Phei
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
The project scope is to characterize and analysis sound using Matlab™ . Greatly understand the characteristic of sound is beneficial to us. Nowadays, sound characterization is very important especially in voice/speech recognition which is commonly used in advanced security system, identifying people by detective and many other applications. However, not much of us understand about the sound. So, this project is going to explore more about the sound and the ways to extract the characteristics of the sound. During the whole project, Matlab™ is used because Matlab™ is user- friendly software, flexible and relatively easy to use. Experiments of sound transmitting and receiving are carried out so that much understanding about the propagation of sound in air and the importance of the sampling process in digital signal processing can be gained. Sound classification is done on the received signal to extract out the characteristics and parameters of sound such as frequency, amplitude, gain, power, spectral characteristic, harmonistic, shape and etc. Characterization will help us much in sound understanding. Sound characterization is implemented by Fast Fourier Transform algorithm due to the flexibility and high computational rates. Furthermore, noise is always surrounding us and considered as undesirable sound. So, filter is required to filter out the noise and returns the original signal as accurate as possible. The algorithm used to filter out the noise of low amplitude in this project is Inverse Fast Fourier Transform. Lastly, the characterization of different signals from different sources is successfully implemented during this project.