arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2003.01472cs.CL

Seshat: A tool for managing and verifying annotation campaigns of audio data

Facebook AI Research(脸书人工智能研究院)

Hadrien Titeux, Rachid Riad, Xuan-Nga Cao, Nicolas Hamilakis, Kris Madden, Alejandrina Cristia, Anne-Catherine Bachoud-Lévi, Emmanuel Dupoux

英文摘要:

We introduce Seshat, a new, simple and open-source software to efficiently manage annotations of speech corpora. The Seshat software allows users to easily customise and manage annotations of large audio corpora while ensuring compliance with the formatting and naming conventions of the annotated output files. In addition, it includes procedures for checking the content of annotations following specific rules that can be implemented in personalised parsers. Finally, we propose a double-annotation mode, for which Seshat computes automatically an associated inter-annotator agreement with the $γ$ measure taking into account the categorisation and segmentation discrepancies.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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