Automatic Speaker Recognition Using Statistical Models.

Abstract

In this report we describe the automatic identification of speakers from their voices. This process has application in forensics and in voice actuated security systems. The implementation and theoretic underpinnings of a statistical based speaker recognition system are presented in addition to the performance of the system on standard speech corpora. In a speaker verification experiment, the system yielded an equal error rate of under 5% when identical microphones are used for testing and training.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1998
Accession Number
ADA352600

Entities

People

  • William Roberts

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Architectural Acoustics
  • Australia
  • Automated Speech Recognition
  • Automatic
  • Computer Access Control
  • Computer Programs
  • Computers
  • Data Processing
  • Engineering
  • Engineers
  • Information Processing
  • Information Systems
  • Information Theory
  • Signal Processing
  • Universities

Readers

  • Regression Analysis.
  • Software Engineering.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference