A Platform for Multilingual Research in Spoken Dialogue Systems

Abstract

Multilingual speech technology research would be greatly facilitated by an integrated and comprehensive set of software tools that enable research and development of core language technologies and interactive language systems in any language. Such a multilingual platform has been one of our goals in developing the CSLU Toolkit. The Toolkit is composed of components that are essentially language-independent, and support research and development of recognition, understanding, text-to-speech synthesis, facial animation, and spoken dialogue systems. Portions of the Toolkit have already been ported to Italian, German, and Vietnamese. In addition, a complete Mexican-Spanish version of the Toolkit has been created, and is in daily use at the Universidad de las Americas in Puebla (UDLA). In this paper we outline some of the issues involved in porting the Toolkit to a new language, and describe why the Toolkit is well suited to multilingual adaptation.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2000
Accession Number
ADP010384

Entities

People

  • Andrew Cronk
  • Ben Serridge
  • Ed Kaiser
  • John-paul Hasom
  • Ronald A. Cole

Organizations

  • University of Colorado Boulder

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Automated Speech Recognition
  • Computer Programming
  • Dialogue Systems
  • Education
  • Grammars
  • Graphical User Interface
  • Hidden Markov Models
  • Information Processing
  • Information Systems
  • Language
  • Linguistics
  • Lisp Programming Language
  • Natural Language Processing
  • Natural Languages
  • Neural Networks
  • Phonemes
  • Universities

Fields of Study

  • Computer science

Readers

  • Software Engineering.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation