利用 EchoTest 检测游戏视频中字幕与音频之间的差异

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Ian Gauk;Cor-Paul Bezemer
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引用次数: 0

摘要

电子游戏的易访问性特征仍然不一致,这给那些寻求量身定制体验的玩家带来了挑战。易用性功能(如字幕)被玩家广泛使用,但由于游戏范围大且字幕呈现方式多变,因此很难手动测试。在本文中,我们将介绍一种自动化方法(EchoTest),用于从游戏视频中提取字幕和语音,将它们转换为文本,并对它们进行比较以检测差异,如打字错误、不同步和缺少文本。游戏开发者可以使用EchoTest来识别游戏中字幕和语音之间的差异,从而更好地测试游戏的易用性。在对15款流行游戏的游戏视频进行的实证研究中,EchoTest能够以98%的准确率和89%的召回率验证字幕和音频之间的差异。此外,在具有挑战性的生成基准测试中,EchoTest的准确率为73%,召回率为99%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detecting Discrepancies Between Subtitles and Audio in Gameplay Videos With EchoTest
The landscape of accessibility features in video games remains inconsistent, posing challenges for gamers who seek experiences tailored to their needs. Accessibility features, such as subtitles are widely used by players but are difficult to test manually due to the large scope of games and the variability in how subtitles can appear. In this article, we introduce an automated approach (EchoTest) to extract subtitles and spoken audio from a gameplay video, convert them into text, and compare them to detect discrepancies, such as typos, desynchronization, and missing text. EchoTest can be used by game developers to identify discrepancies between subtitles and spoken audio in their games, enabling them to better test the accessibility of their games. In an empirical study on gameplay videos from 15 popular games, EchoTest can verify discrepancies between subtitles and audio with a precision of 98% and a recall of 89%. In addition, EchoTest performs well with a precision of 73% and a recall of 99% on a challenging generated benchmark.
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来源期刊
IEEE Transactions on Games
IEEE Transactions on Games Engineering-Electrical and Electronic Engineering
CiteScore
4.60
自引率
8.70%
发文量
87
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