Performance Assessment of a COTS Speech Recognition System on the N4 Database

Abstract

This report discusses the evaluation of a commercially available speech recognition system on the NATO Native and Non-Native (N4) database. Using the statistical language modeling techniques, trigram language models were generated for each of three countries in the database, CA, NL, and UK. Due to time constraints, the DE database was not evaluated. For each of the countries, two factors were assessed. The first was overall word accuracy and the second was callsign accuracy. For this evaluation, only standard American English acoustic models were used. Results of each country evaluation are discussed.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2002
Accession Number
ADA422146

Entities

People

  • David T. Williamson
  • Robin A. Snyder Jr

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Automated Speech Recognition
  • Command And Control
  • Data Sets
  • Databases
  • Fighter Aircraft
  • Government Procurement
  • Governments
  • Language
  • Military Research
  • Recognition
  • Standards
  • Test And Evaluation
  • Training

Readers

  • Academic Conference Management
  • Naval Architecture and Marine Engineering.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation