Robust speech filtering in impulsive noise environments

Simple item page
dc.contributor.authorLedoux, Christelle Michelleen
dc.contributor.committeechairMili, Lamine M.en
dc.contributor.committeememberBeex, A. A. Louisen
dc.contributor.committeememberReed, Jeffrey H.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2014-03-14T21:52:07Zen
dc.date.adate1999-12-31en
dc.date.available2014-03-14T21:52:07Zen
dc.date.issued1999-12-13en
dc.date.rdate2000-12-31en
dc.date.sdate1999-12-20en
dc.description.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.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-122099-142314en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-122099-142314/en
dc.identifier.urihttp://hdl.handle.net/10919/46325en
dc.publisherVirginia Techen
dc.relation.haspartetd.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectLinear Prediction Codingen
dc.subjectrobust statisticsen
dc.subjectspeech processingen
dc.titleRobust speech filtering in impulsive noise environmentsen
dc.typeThesisen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
etd.pdf
Size:
604.69 KB
Format:
Adobe Portable Document Format
Download

Collections

Masters Theses