Adjusting occurrence probabilities of automatically-generated abbreviated words in spoken dialogue systems

Masaki Katsumaru, Kazunori Komatani, Tetsuya Ogata, Hiroshi G. Okuno

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Users often abbreviate long words when using spoken dialogue systems, which results in automatic speech recognition (ASR) errors. We define abbreviated words as sub-words of an original word and add them to the ASR dictionary. The first problem we face is that proper nouns cannot be correctly segmented by general morphological analyzers, although long and compound words need to be segmented in agglutinative languages such as Japanese. The second is that, as vocabulary size increases, adding many abbreviated words degrades the ASR accuracy. We have developed two methods, (1) to segment words by using conjunction probabilities between characters, and (2) to adjust occurrence probabilities of generated abbreviated words on the basis of the following two cues: phonological similarities between the abbreviated and original words and frequencies of abbreviated words in Web documents. Our method improves ASR accuracy by 34.9 points for utterances containing abbreviated words without degrading the accuracy for utterances containing original words.

本文言語English
ホスト出版物のタイトルNext-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings
ページ481-490
ページ数10
DOI
出版ステータスPublished - 2009 11 9
外部発表はい
イベント22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009 - Tainan, Taiwan, Province of China
継続期間: 2009 6 242009 6 27

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5579 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009
CountryTaiwan, Province of China
CityTainan
Period09/6/2409/6/27

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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