Abstract
Background/Objectives: The speech signal is an attractive research issue that solves signal noises. For this reason, the paper main goal is to effectively ensure speech quality. An accurate Optimized Speech Enhancement Algorithm (OSEA) has been proposed and implemented to improve speech intelligibility and quality. The proposed approach was developed and implemented through a Discrete Wavelet Transform (DWT) and kalman filter methods. To assess speech quality, various noisy types for each SNR level were used. The obtained results were compared with a wavelet based speech enhancement using objective assessments like SNR, NRMSE and PESQ. Indeed, the obtained results demonstrated a better speech quality .All prepared tests have been implemented on a TMS320C6416 fixed –point digital signal processor which appears to be suitable platform for real-time requirements.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
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.