Intelligent dialog overcomes speech technology limitations: the SENECa example

ABSTRACT

We present a primarily speech-based user interface to a wide range of entertainment, navigation and communication applications for use in vehicles. The multimodal dialog en ables the system to uniquely identify one of 79,000 place name variants using an active vocabulary of only 3,000 words at any given time. Low confidence in speech recog nition and word-level ambiguities are compensated for in flexible clarification dialogs with the user. The underlying dialog concept was developed in the framework of the EU-project SENECa. Some recent evalua tion results of the SENECa system demonstrator are discussed in the paper

REFERENCES

• 1: Gärtner, U. The SENECa Project: Speech Recognition within the Car for Entertainment and Communication Systems. Detroit Auto Interior Show, 2001.
• 2: Hansen, J.H.L., Plucienkowski, J., Gallant, S., Pellom, B.L., and Ward, W. CU-Move: Robust Speech Proces­sing for In-Vehicle Speech Systems. ICSLP, 2000.
• 3: Paul Heisterkamp, Linguatronic product-level speech system for Mercedes-Benz cars, Proceedings of the first international conference on Human language technology research, p.1-2, March 18-21, 2001, San Diego [doi>10.3115/1072133.1072199]
• 4: Mutschler, H. and Baum, W. Final Report: Evaluation of the System-Demonstrator - German Results. Tech. Rep., 2001.
• 5: Gärtner, U., König, W., and Wittig, T. Evaluation of manual vs. speech input when using a driver informa­tion system in real traffic. International Driving Sympo­sium on Human Factors in Driver Assessment, Training and Vehicle Design, 2001.

INDEX TERMS

Primary Classification:
  J. Computer Applications
  J.7 COMPUTERS IN OTHER SYSTEMS
      Subjects: Command and control

Additional Classification:
  J. Computer Applications
  J.7 COMPUTERS IN OTHER SYSTEMS
      Subjects: Consumer products; Real time

General Terms:
Design, Human Factors, Legal Aspects

Keywords:
evaluation, human-machine dialog, speech recognition