NDLI: Speech enhancement by Kalman filtering with residual noise clipping

Content Provider	IEEE Xplore Digital Library
Author	Wen Jin Scordilis, M.S.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Miami Univ., FL, USA (Wen Jin; Scordilis, M.S.)
Abstract	In this paper, we develop an improved speech enhancement system based on Kalman filtering (KF) that processes the linear prediction (LP) residual of voiced speech. For input frames where voiced speech is present, the LP residuals are clipped to maintain the peaks where the major excitation pulses are located. The proposed algorithm differs from the conventional Kalman filtering algorithms in that it includes this quasi-periodic term in the process equation for voiced speech frames. The quality of the resulting enhanced speech is evaluated by means of signal-to-noise-ratio (SNR) and ITU-PESQ scores. Experimental results indicate that the proposed algorithm achieves consistent improvement in output speech quality when compared to conventional KF methods.
Sponsorship	Region 3 of the Inst. of Electr. and Electron. Eng. IEEE Broward Sect. Nova Southeastern Univ
Starting Page	225
Ending Page	228
File Size	1841036
Page Count	4
File Format	PDF
ISBN	0780388658
DOI	10.1109/SECON.2005.1423250
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-04-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech enhancement Kalman filters Speech processing Equations Working environment noise Low-frequency noise Filtering algorithms Signal processing Nonlinear filters Additive noise
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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