Type of Document Master's Thesis Author Ledoux, Christelle Michelle Author's Email Address email@example.com 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 AbstractThis 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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