"Play PRBLMS": Identifying and Correcting Less Accessible Content in Voice Interfaces
"Play PRBLMS": Identifying and Correcting Less Accessible Content in Voice Interfaces
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“Play PRBLMS”：识别和纠正语音界面中不易访问的内容
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
H. Cramer
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作者：
Aaron Springer;H. Cramer
语音界面经常难以处理特定类型的命名内容。特定领域的术语和命名可能会突破标准语言的界限，特别是在音乐等艺术创造力超越音乐本身的领域。艺术家可以用大多数标准的自动语音识别（ASR）系统无法转录的符号（例如M S C RA）来命名自己。语音界面在显示标题包含非标准拼写、符号或其他ASCII字符代替英文字母或使用非标准方言编写的内容时也会遇到困难。我们提出了一种通用的方法来检测内容，目前的语音界面不足，利用不同的参与输入方式。使用这种检测方法，我们开发了一个类型学的内容类型和语言的做法，可以使内容难以表面。最后，我们提出了一个过程，使用众包的注释，使服务不足的内容更容易访问。
Voice interfaces often struggle with specific types of named content. Domain-specific terminology and naming may push the bounds of standard language, especially in domains like music where artistic creativity extends beyond the music itself. Artists may name themselves with symbols (e.g. M S C RA) that most standard automatic speech recognition (ASR) systems cannot transcribe. Voice interfaces also experience difficulty surfacing content whose titles include non-standard spellings, symbols or other ASCII characters in place of English letters, or are written using a non-standard dialect. We present a generalizable method to detect content that current voice interfaces underserve by leveraging differences in engagement across input modalities. Using this detection method, we develop a typology of content types and linguistic practices that can make content hard to surface. Finally, we present a process using crowdsourced annotations to make underserved content more accessible.