Multilingual Text-Independent Speaker Identification

Abstract

In this paper, we investigate two facets of speaker recognition : cross-language speaker identification and same language non-native text-independent speaker identification. In this context, experiments have been conducted, using standard multi-gaussian modeling, on the brand new multi-language TNO corpus. Our results indicate how speaker identification performance might be affected when speakers do not use the same language during the training and testing, or when the population is composed of non-native speakers.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2000
Accession Number
ADP010395

Entities

People

  • Geoffrey Durou

Tags

DTIC Thesaurus Topics

  • Coefficients
  • Computers
  • Databases
  • Degradation
  • Digital Information
  • Feature Extraction
  • Gaussian Distributions
  • Identification
  • Identification Systems
  • Information Science
  • Language
  • Recognition
  • Technical Information Centers
  • Training

Fields of Study

  • Linguistics

Readers

  • Computational Linguistics
  • Computer Vision.
  • Database Systems and Applications

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation