Preferred Appearance of Captions Generated by Automatic Speech Recognition for Deaf and Hard-of-Hearing Viewers
Preferred Appearance of Captions Generated by Automatic Speech Recognition for Deaf and Hard-of-Hearing Viewers
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自动语音识别生成的字幕的首选外观，适合聋哑和听力障碍观众
DOI：
10.1145/3290607.3312921
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Matt Huenerfauth
中科院分区：
文献类型：
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作者：
Larwan Berke;Khaled Albusays;Matthew Seita;Matt Huenerfauth
随着自动语音识别（ASR）的准确性接近人类水平，它作为一种辅助工具，为聋人和听力障碍者（DHH）将口语转录为文本或许变得可行。我们使用现场实验室方法进行了一项研究，以调查在小组会议环境中使用基于ASR的新型字幕服务时的需求和偏好。开放式的评论揭示了字幕可读性（文本的可视性）和遮挡（字幕遮挡视频内容）之间一种有趣的动态关系。我们的105名聋人和听力障碍参与者对各种字幕外观参数提供了有价值的反馈（强烈倾向于熟悉的样式，如隐藏式字幕），并且在本文中我们开始讨论如何对ASR字幕进行视觉样式设计，以提高聋人和听力障碍观众的文本可读性。
As the accuracy of Automatic Speech Recognition (ASR) nears human-level quality, it might become feasible as an accessibility tool for people who are Deaf and Hard of Hearing (DHH) to transcribe spoken language to text. We conducted a study using in-person laboratory methodologies, to investigate requirements and preferences for new ASR-based captioning services when used in a small group meeting context. The open-ended comments reveal an interesting dynamic between: caption readability (visibility of text) and occlusion (captions blocking the video contents). Our 105 DHH participants provided valuable feedback on a variety of caption-appearance parameters (strongly preferring familiar styles such as closed captions), and in this paper we start a discussion on how ASR captioning could be visually styled to improve text readability for DHH viewers.