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2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議  >

Evaluation of a WFST-based ASR System for Train Timetable Information

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タイトル: Evaluation of a WFST-based ASR System for Train Timetable Information
著者: Novak, Josef Robert 著作を一覧する
Whittaker, Edward W. D. 著作を一覧する
Furui, Sadaoki 著作を一覧する
発行日: 2009年10月 4日
出版者: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing Committee
誌名: Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference
開始ページ: 648
終了ページ: 651
抄録: This paper focuses on the description and evaluation of our new prototype Weighted Finite State Transducer (WFST) based ASR system for accessing Japanese train timetable information from a mobile device. The system employs a constrained, WFST grammar which permits users to make natural language queries related to the train timetables domain, including queries related to supplementary concepts such as "last train", "arrival time", etc. We report preliminary results for four related WFST networks, which include weighted and un-weighted variants of an Zenkoku network which covers 9199 stations across Japan, and weighted and un-weighted variants of a Tokyo network which contains 1098 stations from the greater Tokyo area. For weights we employ unigram station probabilities which were estimated from search engine log data. We compare the performance of the un-weighted networks to their weighted counterparts, using a test set which includes 474 utterances produced by 6 different speakers, and which was recorded in a variety of different acoustic environments. In particular, we focus on task completion rates, including accuracy on at-least-one-station, both-stations, and both-stations-plus-time. In the best case, for the 10-best, weighted Zenkoku network we report a both-stations accuracy of 92.2%.
記述: APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Poster session: Automatic Speech Recognition (6 October 2009).
資料タイプ: proceedings
URI: http://hdl.handle.net/2115/39779
出現コレクション:2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議 (2009 APSIPA Annual Summit and Conference)

 

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