Tightly coupling speech recognition and search

  • Authors:

  • Taniya Mishra;Srinivas Bangalore

  • Affiliations:

  • AT&T Labs-Research, Florham Park, NJ;AT&T Labs-Research, Florham Park, NJ

  • Venue:
  • NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
  • Year:
  • 2009

Quantified Score

Hi-index 0.01

Visualization

Abstract

In this paper, we discuss the benefits of tightly coupling speech recognition and search components in the context of a speech-driven search application. We demonstrate that by incorporating constraints from the information repository that is being searched not only improves the speech recognition accuracy but also results in higher search accuracy.