Abstract
The main purpose of speech enhancement technique is to eliminate the background noise from speech signal to improve the quality of the speech signal. Speech signal is often corrupted by additive background noise like train noise, market noise etc. In such noisy environment listening at the end user is very difficult. This paper presents speech enhancement method using Cellular Automata (CA) algorithm. Based on Peak Signal to Noise Ratio and Mean Square Error criterion the system evaluate the amount of surrounding noise present in speech. The proposed algorithm helps to improve the quality of speech signal at the listener end.
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 callDisclaimer: 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.
