DETECTION OF UNKNOWN WORDS IN LARGE VOCABULARY SPEECH RECOGNITION

Satoru Hayamizu, Katunobu Itou, Kazuyo Tanaka

Research output: Contribution to conferencePaperpeer-review

9 Citations (Scopus)

Abstract

As users often produce new words which are "unknown" to the system, processing unknown words is a key issue to speech recognition systems in the real world. This paper describes an approach to the problem of detecting unknown words, especially in a large vocabulary speech recognition. The approach consists of utilizing the recognition scores obtained both with and without a pre-defined dictionary. We studied the relationship between vocabulary sizes and detection rates of unknown words using this technique. It is shown that the detection task of unknown words is comparable to the recognition task for vocabulary sizes of over 1000 words.

Original languageEnglish
Pages2113-2116
Number of pages4
Publication statusPublished - 1993
Externally publishedYes
Event3rd European Conference on Speech Communication and Technology, EUROSPEECH 1993 - Berlin, Germany
Duration: 1993 Sep 221993 Sep 25

Conference

Conference3rd European Conference on Speech Communication and Technology, EUROSPEECH 1993
Country/TerritoryGermany
CityBerlin
Period93/9/2293/9/25

Keywords

  • Speech Recognition
  • Unknown Words

ASJC Scopus subject areas

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

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