LOTUS-BN:泰国广播新闻语料库及其研究应用

2009 Oriental COCOSDA International Conference on Speech Database and Assessments Pub Date : 2009-10-02 DOI:10.1109/ICSDA.2009.5278377

A. Chotimongkol, K. Saykhum, P. Chootrakool, N. Thatphithakkul, C. Wutiwiwatchai

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引用次数: 29

摘要

本文描述了泰国电视广播新闻语料库LOTUS-BN的设计与构建。除了录音及其转录外，该语料库还包括对广播新闻数据的许多有趣特征的详细注释，如声学条件、重叠语音、新闻主题和命名实体。LOTUS-BN仍是一个正在进行的项目，目标是收集100小时的语音。我们报告了对60小时语音的初步统计分析，结果表明LOTUS-BN语料库拥有大约26,000个单词的丰富词汇，其中三分之一是命名实体。因此，该语料库是开发LVCSR系统、研究命名实体检测和识别以及广播新闻相关应用的良好资源。并对这些课题的研究应用进行了讨论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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LOTUS-BN: A Thai broadcast news corpus and its research applications

This paper describes the design and construction of the LOTUS-BN corpus, a Thai television broadcast news corpus. In addition to audio recordings and their transcription, this corpus also includes a detailed annotation of many interesting characteristics of broadcast news data such as acoustic condition, overlapping speech, news topic and named entity. The LOTUS-BN is still an ongoing project with the goal of collecting 100 hours of speech. We report initial statistics analyzed from 60 hours of speech which show that the LOTUS-BN corpus has a rich vocabulary of approximately 26,000 words with one third of them are named entities. Thus, this corpus is a good resource for developing an LVCSR system and investigating on named entity detection and recognition in addition to broadcast news related applications. Research applications on these topics are also discussed.

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2009 Oriental COCOSDA International Conference on Speech Database and Assessments

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