Improving Recognition Correct Rate of Important Words in Large Vocabulary Speech Recognition

Yasuo Shirosaki*, Hideaki Kikuchi, Katsuhiko Shirai

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

The speech recognition technique has used in the various fields, with the progress of it and the needed functions are different for purposes. For example, speech dictators need to recognize whole sentences, but spoken dialogue systems need to recognize important words rather than whole sentences. In this paper, we propose a method of modifying language model for improving recognition correct rate of important words. This method multiplied probabilities of unigram and bigram of important words by constant weight and made important words to easy to be recognized. And we examine differences of recognition result in changes of a set of important words. As a result, the correct rate of important words increased when we multiplied probabilities of important words by weight.

Original languageEnglish
Pages511-514
Number of pages4
Publication statusPublished - 1999
Event6th European Conference on Speech Communication and Technology, EUROSPEECH 1999 - Budapest, Hungary
Duration: 1999 Sep 51999 Sep 9

Conference

Conference6th European Conference on Speech Communication and Technology, EUROSPEECH 1999
Country/TerritoryHungary
CityBudapest
Period99/9/599/9/9

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Linguistics and Language
  • Communication

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