A. Chotimongkol, K. Saykhum, P. Chootrakool, N. Thatphithakkul, C. Wutiwiwatchai
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引用次数: 29
Abstract
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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