基于语音的用户界面,用于无手输入数据和工作场所的自动化.
Daiwiik Harihar1, Vedansh Shrivastava1, Pratvina Talele1
1School of Computer Science and Engineering, Dr. Vishwanath Karad MIT World Peace University, Paud Road, Kothrud, Pune, Maharashtra 411038, India.
MethodsX
|September 15, 2025
概括
这项研究引入了一种基于语音的用户界面 (VUI),用于免动输入数据,在语音到文本转录中达到88.8%的准确性. 优化的音频分割提高了VUI性能,用于工作场所自动化.
科学领域:
- 人与计算机的交互
- 人工智能的人工智能
- 工作场所技术 工作场所技术
背景情况:
- 在专业环境中,越来越需要自由手互动.
- 现有的接口缺乏数据输入的效率和自动化.
- 基于语音的用户界面 (VUI) 提供了增强可访问性和可用性的潜力.
研究的目的:
- 开发和评估一个用于无手数据输入和工作场所自动化的视觉用户界面.
- 为了实现实时语音到文本转录,以实现直观的用户交互.
- 展示VUI的实用性和好处,以提高工作场所的效率.
主要方法:
- 使用WIT.AI API进行语音到文本转录.
- 实现了块化,缓存和并发控制,以优化处理.
- 通过Word错误率 (WER),莱文斯坦距离和共弦相似度评估性能.
主要成果:
- 在识别口语命令并将其转换为文本方面达到高达88.8%的准确性.
- 当音频被分成7块时,观察到最优的性能.
- 与相当大的文件相比,对于碎片式音频,Cosine相似性更准确.
结论:
- 开发的VUI提供了一个可行的解决方案,用于免动输入数据和自动化.
- 实时更新和跨不同领域的数据同步提高了生产力.
- 视觉用户界面为现代工作场所互动提供了直观和用户友好的方法.
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