Type of Document	Master's Thesis
Author	Ledoux, Christelle Michelle
Author's Email Address	cledoux@vt.edu
URN	etd-122099-142314
Title	Robust speech filtering in impulsive noise environments
Degree	Master of Science
Department	Electrical and Computer Engineering
Advisory Committee	Advisor Name Title Mili, Lamine M. Committee Chair Beex, A. A. Louis Committee Member Reed, Jeffrey Hugh Committee Member
Keywords	Linear Prediction Coding robust statistics speech processing
Date of Defense	1999-12-13
Availability	mixed
Abstract This thesis presents a new robust filtering technique that suppresses impulsive noise in speech signals. The method makes use of Projection Statistics based on medians to detect segments of speech with impulses. The autoregressive model employed to smooth out the speech signal is identified by means of a robust nonlinear estimator known as the Schweppe-type Huber GM-estimator. Simulation results are presented that demonstrate the effectiveness of the filter. Another contribution of the work is the development of a robust version of the Kalman filter based on the Huber M-estimator. The performances of this filter are evaluated for a simple autoregressive process.
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