Feature Analysis for Speaker Identification.

Abstract

A method for text-independent speaker identification has been developed which utilizes vowel sounds as the basis for extracting speaker characteristics. The use of this approach typically requires that vowel samples first be classified according to vowel category, so that vowels of the same category can be compared in the speaker identification process. It has been demonstrated, however that it is only necessary to detect vowel-like sounds in the speech material and that speaker identification performance actually improves when there is no vowel recognition. Another significant outcome of this research was the successful application of sequential analysis to the decision process. The experiments which led to the conclusions of the research were based upon a data base of vowel samples form more than one hour of speech material excerpted from conversational speech recordings. Using the sampe 20-speaker reference patterns, tests with data from two speakers recorded two weeks after the reference material showed that one of the speakers was correctly identified in 18 seconds and the second speaker was correctly identified, but with a lower confidence level than the first.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1977
Accession Number
ADA044311

Entities

People

  • Larry L. Pfeifer

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Automatic
  • Coefficients
  • Computers
  • Covariance
  • Data Science
  • Data Sets
  • Databases
  • Digital Information
  • Experimental Data
  • Frequency
  • Identification
  • Identification Systems
  • Information Retrieval
  • Information Science
  • Recognition
  • Sequential Analysis

Fields of Study

  • Linguistics

Readers

  • Regression Analysis.
  • Speech Processing/Speech Recognition.