Evaluation Framework Design of Spoken Term Detection Study at the NTCIR-9 IR for Spoken Documents Task

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概要

• 論文の詳細を見る

• This paper describes a design of spoken term detection (STD) studies and their evaluating framework at the STD sub-task of the NTCIR-9 IR for Spoken Documents (SpokenDoc) task. STD is the one of information access technologies for spoken documents. The goal of the STD sub-task is to rapidly detect presence of a given query term, consisting of word or a few word sequences spoken, from the spoken documents included in the Corpus of Spontaneous Japanese. To successfully complete the sub-task, we considered the design of the sub-task and the evaluation methods, and arranged the task schedule. Finally, seven teams participated in the STD subtask and submitted 18 STD results. This paper explains the STD sub-task details we conducted, the data used in the sub-task, how to make transcriptions by speech recognition for data distribution, the evaluation measurement, introduction of the participants' techniques, and the evaluation results of the task participants.

著者

• MATSUI Tomoko

  The Institute of Statistical Mathematics

• Kawahara Tatsuya

  Academic Center For Computing And Media Studies Kyoto Univ.

• NISHIZAKI Hiromitsu

  Department of Research, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi

• Akiba Tomoyosi

  Department of Computer Science and Engineering, Toyohashi University of Technology

• Aikawa Kiyoaki

  School of Media Science, Tokyo University of Technology

関連論文

• Speaker Recognition without Feature Extraction Process
• Speaker Recognition without Feature Extraction Process
• Speaker Recognition without Feature Extraction Process
• Comparison of Methods for Topic Classification of Spoken Inquiries
• Evaluation Framework Design of Spoken Term Detection Study at the NTCIR-9 IR for Spoken Documents Task
• Probabilistic Concatenation Modeling for Corpus-Based Speech Synthesis

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