MyConverse:使用智能手机识别和可视化个人对话

M. Rossi, O. Amft, S. Feese, Christian Käslin, G. Tröster
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引用次数: 3

摘要

MyConverse是一款面向智能手机的个人对话识别和可视化工具。MyConverse使用智能手机的麦克风来持续识别用户在日常生活中的对话。当它识别预先训练的说话者时,未知的说话者会被检测出来,并随后被训练以用于未来的识别。基于识别,MyConverse将用户在智能手机上的社交互动可视化。基于一个免费的数据集进行了广泛的系统参数评估。此外,MyConverse还在不同的现实环境中进行了测试,并进行了全天的评估研究。该系统在会议室条件下对24位说话人的识别准确率达到75%。在其他日常生活中,MyConverse的准确率达到了60%到84%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MyConverse: recognising and visualising personal conversations using smartphones
MyConverse is a personal conversation recogniser and visualiser for smartphones. MyConverse uses the smartphone's microphone to continuously recognise the user's conversations during daily life. While it recognises pre-trained speakers, unknown speakers are detected and subsequently trained for future identification. Based on the recognition, MyConverse visualises user's social interactions on the smartphone. An extensive system parameter evaluation has been done based on a freely available dataset. Additionally, MyConverse was tested in different real-life environments and in a full-day evaluation study. The speaker recognition system reached an identification accuracy of 75% for 24 speakers in meeting room conditions. In other daily life situations MyConverse reached accuracies from 60% to 84%.
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