Title page for ETD etd-122099-142314

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
  • Linear Prediction Coding
  • robust statistics
  • speech processing
Date of Defense 1999-12-13
Availability mixed
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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