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SPEECHDAT-CAR. A large speech database for automotive environments

  • Asuncion Moreno
  • , Børge Lindberg
  • , Christoph Draxler
  • , Gael Richard
  • , Khalid Choukri
  • , Stephan Euler
  • , Jeffrey Allen
  • Universidad Politecnica de Catalunia
  • CPK
  • Universität München
  • Lernout and Hauspie
  • ELRA
  • Robert Bosch GmbH

Résultats de recherche: Contribution à une conférence › Papier › Revue par des pairs

89 Citations (Scopus)

Résumé

The aims of the SpeechDat-Car project are to develop a set of speech databases to support training and testing of multilingual speech recognition applications in the car environment. As a result, a total often (10) equivalent and similar resources will be created. The 10 languages are Danish, British English, Finnish, Flemish/Dutch, French, German, Greek, Italian, Spanish and American English. For each language 600 sessions will be recorded (from at least 300 speakers) in seven characteristic environments (low speed, high speed with audio equipment on, etc.). This paper gives an overview of the project with a focus on the production phases (recording platforms, speaker recruitment, annotation and distribution).

langue originaleAnglais
étatPublié - 1 janv. 2000
Modification externeOui
Evénement2nd International Conference on Language Resources and Evaluation, LREC 2000 - Athens, Grcce
Durée: 31 mai 2000 → 2 juin 2000

Une conférence

Une conférence2nd International Conference on Language Resources and Evaluation, LREC 2000
Pays/TerritoireGrcce
La villeAthens
période31/05/00 → 2/06/00

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