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dc.contributor.advisorGiet, G. Robert
dc.contributor.authorHollabaugh, Jon Dale.
dc.date1963
dc.date.accessioned2012-08-29T23:33:39Z
dc.date.available2012-08-29T23:33:39Z
dc.date.issued1963
dc.identifier.urihttps://hdl.handle.net/10945/12661
dc.description.abstractSpeech is one of the most inefficient methods of communication. Therefore, there has been a continuing effort to devise means to reduce the redundancy, that is, compress the bandwidth required for speech communication „ For broad tactical military use the author considers the amount of compression, intelligibility and quality to be factors of prime importance, while factors such as speaker recognition and naturalness are of secondary importance The speech compression methods receiving the most emphasis today are described and their major discrepancies indicated . Generally, their deficiencies arise because the present systems do not rely on the fact that the electrical representation of speech is a particular signal, not just any electrical signal whose frequency components lie in the audio band. With present day speech compression systems in mind, an analysis of the "method of distinctive features" as proposed by Jakobson, Fant, and Halle of MIT is offered This method for achieving reliable speech recognition at the phonemic level is in a partial stage of development » The measurements required to extract six of the ten features are tabulated and procedures for reducing the remaining four features are outlined, Sonagraphic data is given in support of the method. Instrumentation and flow charts for digital computer investigation of the process are detailed. The proposed acoustical input device will facilitate computer studies of speech processes.
dc.description.urihttp://archive.org/details/methodsforphonem1094512661
dc.language.isoen_US
dc.publisherMonterey, California: U.S. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
dc.titleMethods for phonemic recognition in speech processing.en_US
dc.typeThesisen_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentElectronics
dc.description.serviceCaptain, United States Marine Corpsen_US
etd.thesisdegree.nameM.S. in Engineering Electronicsen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineEngineering Electronicsen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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