Towards Multilingual Interoperability in Automatic Speech Recognition

Abstract

In this communication, we address multilingual interoperability aspects in speech recognition. After giving a tentative definition of multilingual interoperability, we discuss speech recognition components and their language-specific aspects. We give a sample overview of past multilingual speech recognition research and development across different speaking styles (read, prepared and conversational). The problem of adaptation to new languages is addressed. Language-independent and cross- language techniques for acoustic modeling provide a means to port recognition systems to new languages without language specific acoustic data. Pronunciation lexical and text material appear to be the most crucial language-dependent resources for porting. Fast porting being a step towards multilingual interoperability the ongoing efforts of producing multilingual pronun ciation lexical and collecting multilingual text corpora should be extended to the largest possible number of written languages.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2000
Accession Number
ADP010388

Entities

People

  • Martine Adda-decker

Tags

DTIC Thesaurus Topics

  • Automated Speech Recognition
  • Automatic
  • Computational Science
  • Dictionaries
  • Hidden Markov Models
  • Information Retrieval
  • Information Systems
  • Language
  • Markov Models
  • Models
  • Natural Language Processing
  • Natural Languages
  • Standards
  • Test And Evaluation
  • Test Sets
  • Training
  • Workshops

Fields of Study

  • Computer science
  • Education
  • Linguistics

Readers

  • Computational Linguistics
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation