Fast word-graph generation for spontaneous conversational speech translation

Tohru Shimizu*, Harald Singer, Yoshinori Sagisaka

*この研究の対応する著者

研究成果: Conference article査読

2 被引用数 (Scopus)

抄録

This paper introduces the latest advances in research at ATR on speech translation for spontaneous conversations, especially focusing on speech recognition efforts. For recognition, we employ a word search technique that generates moderate sized word graphs in real-time. To cope with a variety in length of utterances, e.g., word, phrase, sentence fragment, sentence, and concatenated sentences in spontaneous speech, we have adopted a two pass search strategy that uses variable-order word n-gram statistics in the first stage and task dependent language constraints in the second stage. This strategy is evaluated using the `ATR Travel Arrangement' corpus.

本文言語English
ページ(範囲)95-98
ページ数4
ジャーナルICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
1
出版ステータスPublished - 1997 1月 1
外部発表はい
イベントProceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 5) - Munich, Ger
継続期間: 1997 4月 211997 4月 24

ASJC Scopus subject areas

  • ソフトウェア
  • 信号処理
  • 電子工学および電気工学

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