Content-based language models for spoken document retrieval

Hsin Min Wang, Berlin Chen

研究成果: 書貢獻/報告類型會議論文篇章

1 引文 斯高帕斯(Scopus)

摘要

Spoken document retrieval (SDR) has been extensively studied in recent years because of its potential use in navigating large multimedia collections in the near future. This paper presents a novel concept of applying the content-based language models to spoken document retrieval. In an example task for retrieval of Mandarin broadcast news, the content-based language models either trained with the automatic transcriptions of the spoken documents or adapted from the baseline language models using the automatic transcriptions of the spoken documents were used to create the more accurate recognition results and indexing terms from both the spoken documents and the speech queries. We report on some interesting findings obtained in this research.

原文英語
主出版物標題Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000
發行者Association for Computing Machinery, Inc
頁面149-155
頁數7
ISBN(電子)1581133006, 9781581133004
DOIs
出版狀態已發佈 - 2000 十一月 1
事件5th International Workshop on Information Retrieval with Asian Languages, IRAL 2000 - Hong Kong, 中国
持續時間: 2000 九月 302000 十月 1

出版系列

名字Proceedings of the 5th international Workshop on Information Retrieval with Asian Languages, IRAL 2000

其他

其他5th International Workshop on Information Retrieval with Asian Languages, IRAL 2000
國家/地區中国
城市Hong Kong
期間2000/09/302000/10/01

ASJC Scopus subject areas

  • 電腦科學應用
  • 資訊系統

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