A study and comparison of digital speech systems

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dc.contributor.advisorParks, Thomas W.
dc.creatorQuilici, Timothy Jon
dc.date.accessioned2018-12-18T21:25:00Z
dc.date.available2018-12-18T21:25:00Z
dc.date.issued1976
dc.descriptionText includes handwritten formulas
dc.description.abstractSeveral of the main digital communication systems in use today are surveyed. Particular attention is paid to the transmission of the speech signal. The autocorrelation and covariance formulations of linear predictive coding are compared for varying length segments of synthetically produced vowel sounds. The two formulations are also compared on vowel sounds contaminated with varying amounts of additive white noise. The two formulations were found to be roughly equivalent in their abilities to extract Z-plane pole locations from a signal. The autocorrelation method was shown to be computationally faster, however. A new pole extraction algorithm is tested in which the covariance method is used on several short over-lapping segments and a "cluster" decision scheme is used. This computationally expensive algorithm proves to yield better results than a straight forward application of the covariance method.
dc.format.digitalOriginreformatted digital
dc.format.extent136 pp
dc.identifier.callnoTHESIS E.E. 1976 QUILICI
dc.identifier.citationQuilici, Timothy Jon. "A study and comparison of digital speech systems." (1976) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/104533">https://hdl.handle.net/1911/104533</a>.
dc.identifier.digitalRICE2168
dc.identifier.urihttps://hdl.handle.net/1911/104533
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.titleA study and comparison of digital speech systems
dc.typeThesis
dc.type.materialText
thesis.degree.departmentElectrical Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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