Abstract
Noise reduction is a very meaningful but difficult task and it has been a subject of intense research in recent years. This paper introduces two popular noise reduction techniques and presents our simulation result of a noise reduction system. It is shown that the system reduces the noise almost completely while keeps the enhanced speech signal very similar to the original speech signal.
Highlights
Noise is one kind of sound that is unexpected or undesired [1, 10]
This paper introduces two popular noise reduction techniques and presents our simulation result of a noise reduction system
The paper presented the simulation result for a noise reduction system based on spectral subtraction
Summary
Noise is one kind of sound that is unexpected or undesired [1, 10] It can be divided into non-additive noise and additive noise. The additive noise includes periodical noise, pulse noise, and broadband noise [2, 4]. The ideal way to treat the noise pollution would be just to get rid of it. This can be done for environmental noise like traffic noise or machinery noise by using a barrier material or a passive absorber [1]. This paper introduces two popular noise reduction techniques and presents our simulation result of a noise reduction system. The popular noise reduction techniques, including spectral subtraction and Wiener filtering, are reviewed. This paper is concluded with a summary of results
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Computer Science and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
