Recognition of English utterances with grammatical and lexical mistakes for dialogue-based CALL system

Akinori Ito, Ryohei Tsutsui, Shozo Makino, Motoyuki Suzuki

Research output: Contribution to journalConference articlepeer-review

11 Citations (Scopus)

Abstract

Our goal is to develop a voice-interactive CALL system which enables language learners to practice words, phrases, and grammars interactively. Such a system must be able to recognize learner's utterances correctly. To enable the recognition of utterances containing grammatical mistakes, we used an n-gram language model trained from generated text. The proposed model achieved recognition performance similar to that of a language model based on a finite-state automaton and manual error rules. We then introduced two error correction techniques to improve recognition performance. One method used the Levenshtein distance between the target sentence and the recognized sentence. The other method used an error-corrective model based on POS n-gram features. The experimental results showed that both methods were able to improve recognition performance.

Original languageEnglish
Pages (from-to)2819-2822
Number of pages4
JournalProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Publication statusPublished - 2008 Dec 1
EventINTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association - Brisbane, QLD, Australia
Duration: 2008 Sep 222008 Sep 26

Keywords

  • CALL system
  • Error-corrective language model
  • Grammatical errors
  • Speech recognition
  • Text generation

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Signal Processing
  • Software
  • Sensory Systems

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