Methods for phonemic recognition in speech processing.
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Authors
Hollabaugh, Jon Dale.
Subjects
Advisors
Giet, G. Robert
Date of Issue
1963
Date
1963
Publisher
Monterey, California: U.S. Naval Postgraduate School
Language
en_US
Abstract
Speech 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.
Type
Thesis
Description
Series/Report No
Department
Electronics
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This 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.