流利:一个为口吃者提供的人工智能增强写作工具

Bhavya Ghai, Klaus Mueller
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引用次数: 6

摘要

口吃是一种语言障碍,影响着全世界数百万人的个人和职业生活。为了使自己免受污名和歧视,口吃者可能会采取不同的策略来掩盖自己的口吃。一种常见的策略是单词替换,即人们避免说他们可能会口吃的单词,而使用替代词。这个过程本身会造成压力,增加更多的负担。在这项工作中,我们介绍了Fluent,这是一个人工智能增强的写作工具,可以帮助PWS编写更流利的脚本。流利体现了一种新颖的基于主动学习的方法来识别个人可能难以发音的单词。这样的单词会在界面中突出显示。将鼠标悬停在任何这样的单词上,Fluent就会显示一组具有相似意思但更容易说的替代单词。用户可以自由地接受或忽略这些建议。基于这样的用户交互(反馈),Fluent不断改进其分类器,以更好地适应每个用户的个性化需求。我们通过测量10个模拟用户识别难词的能力来评估我们的工具。我们发现,我们的工具可以在不到20次交互中识别困难的单词,平均准确率超过80%,并且随着更多的反馈,它还在不断提高。我们的工具可以在某些重要的生活场合中发挥作用,比如演讲、演讲等。这个工具的源代码可以在github.com/bhavyaghai/Fluent上公开访问。
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Fluent: An AI Augmented Writing Tool for People who Stutter
Stuttering is a speech disorder which impacts the personal and professional lives of millions of people worldwide. To save themselves from stigma and discrimination, people who stutter (PWS) may adopt different strategies to conceal their stuttering. One of the common strategies is word substitution where an individual avoids saying a word they might stutter on and use an alternative instead. This process itself can cause stress and add more burden. In this work, we present Fluent, an AI augmented writing tool which assists PWS in writing scripts which they can speak more fluently. Fluent embodies a novel active learning based method of identifying words an individual might struggle pronouncing. Such words are highlighted in the interface. On hovering over any such word, Fluent presents a set of alternative words which have similar meaning but are easier to speak. The user is free to accept or ignore these suggestions. Based on such user interaction (feedback), Fluent continuously evolves its classifier to better suit the personalized needs of each user. We evaluated our tool by measuring its ability to identify difficult words for 10 simulated users. We found that our tool can identify difficult words with a mean accuracy of over 80% in under 20 interactions and it keeps improving with more feedback. Our tool can be beneficial for certain important life situations like giving a talk, presentation, etc. The source code for this tool has been made publicly accessible at github.com/bhavyaghai/Fluent.
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