Abstract
Efficient spectrum enhancement plays an important role in speech recognition. The present system can work well in quiet environment or white Gaussian noise, but degrades quickly in mixed noise environment. To solve this problem, this paper presents a new spectrum enhancement method based on generalized S-transform. Firstly, the influence of α-stable noise is reduced by the robust S-transform based on L-DFT. Then, to resolve the interference of the intensified Gaussian noise, a varying-tendency window is introduced into the S-transform. By this way, we can get the better spectrum enhancement under the mixed noise environment. The effectiveness of the presented method is verified by simulation.
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.