Abstract
In this paper, a modified Wiener filtering speech enhancement algorithm with phase spectrum compensation is proposed, which aims at improving performance of typical Wiener filtering speech enhancement algorithm in low signal-noise ratio. Since typical speech enhancement algorithms always used the observed noisy speech phase spectrum unchanged directly as enhanced speech phase spectrum, and estimated noise power spectrum by the average noise power spectrum of the pauses in speech, so it is inaccurate for following signal processing. In order to solve these problems, the proposed method updates the Wiener filtering estimation of noise power spectrum according to whether the current frame to determine is speech signal or non-speech signal, and combines the amplitude estimation of clean speech signal with phase spectrum compensation, which retain more speech details information. Simulation results show the effectiveness of the proposed algorithm.
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.
