Speaker Recognition from an Unknown Utterence and Speaker-Speech Interaction,

Abstract

The authors are interested in determining whether a given utterance comes from a member of a given speaker group or an imposter. If it is the former, they are interested in determining the identity of the speaker. The only knowledge available is a set of known utterances from the given group of speakers. The given utterance is manually divided into phonemes without necessarily ascertaining the identity of phonemes. Using statistical decision theory they develop various types of tests for speaker verification and identification using only one phoneme segment or the entire utterance. They consider related problems such as the methods of clustering speakers to aid speaker verification, the optimal choice of phonemes for speaker recognition.

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1976
Accession Number
ADA027652

Entities

People

  • R. L. Kashyap

Organizations

  • Purdue University

Tags

DTIC Thesaurus Topics

  • Clustering
  • Data Science
  • Decision Theory
  • Identification
  • Identities
  • Information Science
  • Mathematics
  • Recognition
  • Statistical Decision Theory
  • Verification

Readers

  • Computational Modeling and Simulation
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML