Evaluating the Usability of Automatically Generated Captions for People who are Deaf or Hard of Hearing
Evaluating the Usability of Automatically Generated Captions for People who are Deaf or Hard of Hearing
复制标题
评估自动生成的字幕对于聋哑人或听力障碍人士的可用性
DOI:
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复制
发表时间:
2017
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:
Sushant Kafle;Matt Huenerfauth
The accuracy of Automated Speech Recognition (ASR) technology has improved, but it is still imperfect in many settings. Researchers who evaluate ASR performance often focus on improving the Word Error Rate (WER) metric, but WER has been found to have little correlation with human-subject performance on many applications. We propose a new captioning-focused evaluation metric that better predicts the impact of ASR recognition errors on the usability of automatically generated captions for people who are Deaf or Hard of Hearing (DHH). Through a user study with 30 DHH users, we compared our new metric with the traditional WER metric on a caption usability evaluation task. In a side-by-side comparison of pairs of ASR text output (with identical WER), the texts preferred by our new metric were preferred by DHH participants. Further, our metric had significantly higher correlation with DHH participants' subjective scores on the usability of a caption, as compared to the correlation between WER metric and participant subjective scores. This new metric could be used to select ASR systems for captioning applications, and it may be a better metric for ASR researchers to consider when optimizing ASR systems.
DOI:
10.1037/a0020990
发表时间:
2011-04
期刊:
Journal of experimental psychology. Human perception and performance
影响因子:
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作者:
Rayner K;Slattery TJ;Drieghe D;Liversedge SP
通讯作者:
Liversedge SP
影响因子:
3.7
作者:
Rayner, Keith;Reichle, Erik D.;Pollatsek, Alexander
通讯作者:
Pollatsek, Alexander