Audiovisual Media and Automatic Speech Recognition: A Methodological Reflection

E. Stjernholm
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Abstract

This methodological reflection focuses on the use of automatic speech recognition in my ongoing research project Televising Information: The Audiovisual Communication of Government Agencies, which has been conducted in collaboration with the National Library of Sweden’s KB-Lab. The article maps the pitfalls and affordances of ASR in the study of audiovisual media and digital history more broadly. Three key topics are emphasized: first, the collaboration between scholars and audiovisual archives and the potential of automatic speech recognition to transform the way scholars navigate and engage with audiovisual media history; second, what knowledge can be gained from employing automatic speech recognition in the exploration of film and television history; and lastly, thoughts on trajectories for future research. Even though the National Library of Sweden’s audiovisual collection is frequently used in humanities and social science scholarship, no previous research project has utilized automatic speech recognition algorithms to analyze material from their collection. As such, this reflection aims to contribute toward methodological development.
视听媒体与自动语音识别:方法论反思
这一方法学反思的重点是在我正在进行的研究项目“电视信息:政府机构的视听交流”中使用自动语音识别,该项目是与瑞典国家图书馆的kb实验室合作进行的。本文在更广泛的视听媒体和数字历史研究中描绘了ASR的缺陷和启示。本文强调了三个关键主题:第一,学者与视听档案之间的合作以及自动语音识别的潜力,以改变学者导航和参与视听媒体历史的方式;第二,在探索影视史的过程中使用自动语音识别可以获得哪些知识;最后是对未来研究轨迹的思考。尽管瑞典国家图书馆的视听馆藏经常被用于人文和社会科学研究,但此前没有任何研究项目利用自动语音识别算法来分析其馆藏中的材料。因此,这一反思旨在为方法论的发展做出贡献。
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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