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NCJRS Abstract

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NCJ Number: 92658 Find in a Library
Title: Machine Aided Speaker Identification - Phase One - Semiautomatic Speaker Identification System - Final Report of Phase One Research
Author(s): H Hollien; J W Hicks
Corporate Author: University of Florida
Institute for Advanced Study of the Communication Processes
United States of America
Date Published: 1983
Page Count: 19
Sponsoring Agency: National Institute of Justice (NIJ)
Washington, DC 20531
National Institute of Justice/
Rockville, MD 20849
NCJRS Photocopy Services
Rockville, MD 20849-6000
University of Florida
Gainesville, FL 32611
US Dept of Justice NIJ Pub
Washington, DC 20531
Grant Number: 82-IJ-CX-0034
Publication Number: IASCP/DJ/006
Sale Source: National Institute of Justice/
NCJRS paper reproduction
Box 6000, Dept F
Rockville, MD 20849
United States of America

NCJRS Photocopy Services
Box 6000
Rockville, MD 20849-6000
United States of America
Document: PDF
Type: Report (Study/Research)
Language: English
Country: United States of America
Annotation: Research through phase one of a three-phase experimental project intended to develop a speaker identification technique has yielded encouraging results in the testing of vectors thought to be idiosyncratic of an individual speaker.
Abstract: Prior to the current funding contract for phase one of this project, a data base had already been developed consisting of about 2,000 recordings of 435 speakers variously producing 27 classes of utterances. The vectors that have been tested were selected on the basis of (1) high probability of discriminating among speakers, (2) enhanced utility when combined with other factors, (3) resistance to distortion, (4) availability, (5) convenience in modification, and (6) compatability with computer processing. The vectors currently being tested are the speaker fundamental frequency vector, the long-term speech spectra vector, the vowel formant tracking vector, the temporal analysis vector, and the vocal intensity vector. Additional vectors are being subjected to pilot-level evaluations. These include vocal jitter, voice shimmer, phoneme analysis, and vowel/consonant ratios. Reasonable identification power (excellent in some instances) was found for all vectors, even in the face of a severely structured forensic evaluation. Plans for the other phases of the experiment are presented.
Index Term(s): Research and development; Voice identification
To cite this abstract, use the following link:
http://www.ncjrs.gov/App/publications/abstract.aspx?ID=92658

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