Construction of a Test Collection for Spoken Document Retrieval from Lecture Audio Data

• Item type: JInfP(1)
• 公開日: 2009-02-04
• タイトル: Construction of a Test Collection for Spoken Document Retrieval from Lecture Audio Data
• タイトル / 言語: en
• タイトル: Construction of a Test Collection for Spoken Document Retrieval from Lecture Audio Data
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: Regular Paper
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• その他タイトル / その他のタイトル: Retrieval
• 著者所属: Toyohashi University of Technology
• 著者所属: Tokyo University of Technology
• 著者所属: Iwate Prefectural University
• 著者所属: Kyoto University
• 著者所属: Ryukoku University
• 著者所属: University of Yamanashi
• 著者所属: Nippon Telegraph and Telephone Corporation
• 著者所属: Ritsumeikan University
• 著者所属: Hosei University
• 著者所属(英): en
• 著者所属(英): Toyohashi University of Technology
• 著者所属(英): en
• 著者所属(英): Tokyo University of Technology
• 著者所属(英): en
• 著者所属(英): Iwate Prefectural University
• 著者所属(英): en
• 著者所属(英): Kyoto University
• 著者所属(英): en
• 著者所属(英): Ryukoku University
• 著者所属(英): en
• 著者所属(英): University of Yamanashi
• 著者所属(英): en
• 著者所属(英): Nippon Telegraph and Telephone Corporation
• 著者所属(英): en
• 著者所属(英): Ritsumeikan University
• 著者所属(英): en
• 著者所属(英): Hosei University
• 著者名: Tomoyosi, Akiba; Kiyoaki, Aikawa; Yoshiaki, Itoh; Tatsuya, Kawahara; Hiroaki, Nanjo; Hiromitsu, Nishizaki; Norihito, Yasuda; Yoichi, Yamashita; Katunobu, Itou
• 著者名(英): Tomoyosi, Akiba; Kiyoaki, Aikawa; Yoshiaki, Itoh; Tatsuya, Kawahara; Hiroaki, Nanjo; Hiromitsu, Nishizaki; Norihito, Yasuda; Yoichi, Yamashita; Katunobu, Itou
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: The lecture is one of the most valuable genres of audiovisual data. Though spoken document processing is a promising technology for utilizing the lecture in various ways, it is difficult to evaluate because the evaluation require a subjective judgment and/or the verification of large quantities of evaluation data. In this paper, a test collection for the evaluation of spoken lecture retrieval is reported. The test collection consists of the target spoken documents of about 2,700 lectures (604 hours) taken from the Corpus of Spontaneous Japanese (CSJ), 39 retrieval queries, the relevant passages in the target documents for each query, and the automatic transcription of the target speech data. This paper also reports the retrieval performance targeting the constructed test collection by applying a standard spoken document retrieval (SDR) method, which serves as a baseline for the forthcoming SDR studies using the test collection.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: The lecture is one of the most valuable genres of audiovisual data. Though spoken document processing is a promising technology for utilizing the lecture in various ways, it is difficult to evaluate because the evaluation require a subjective judgment and/or the verification of large quantities of evaluation data. In this paper, a test collection for the evaluation of spoken lecture retrieval is reported. The test collection consists of the target spoken documents of about 2,700 lectures (604 hours) taken from the Corpus of Spontaneous Japanese (CSJ), 39 retrieval queries, the relevant passages in the target documents for each query, and the automatic transcription of the target speech data. This paper also reports the retrieval performance targeting the constructed test collection by applying a standard spoken document retrieval (SDR) method, which serves as a baseline for the forthcoming SDR studies using the test collection.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA00700121
• 書誌情報: Journal of information processing; 巻 17, p. 82-94, 発行日 2009-02-04
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-6652
• 出版者 / 言語: ja
• 出版者: 情報処理学会