AmbientSense: A real-time ambient sound recognition system for smartphones
AmbientSense: A real-time ambient sound recognition system for smartphones
复制标题
AmbientSense：智能手机实时环境声音识别系统
DOI：
10.1109/percomw.2013.6529487
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
G. Tröster
中科院分区：
文献类型：
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作者：
M. Rossi;S. Feese;O. Amft;Nils Braune;S. Martis;G. Tröster
本文介绍了 AmbientSense（智能手机上的实时环境声音识别系统）的设计、实现和评估。 AmbientSense 通过分析从智能手机麦克风采样的环境声音来持续识别用户上下文。手机为用户提供有关已识别上下文的实时反馈。 AmbientSense 作为 Android 应用程序实现，并以两种模式工作：在自主模式下，处理仅在智能手机上执行。在服务器模式下，识别是通过将音频特征传输到服务器并接收返回的分类结果来完成的。我们在 23 个日常生活环境声音类别中评估了这两种模式，并描述了识别性能、手机 CPU 负载和识别延迟。该应用程序在电池充满电的情况下在三星 Galaxy SII 智能手机上运行长达 13.75 小时，在 Google Nexus One 手机上运行长达 12.87 小时。自主模式和服务器模式的运行时和 CPU 负载相似。
This paper presents design, implementation, and evaluation of AmbientSense, a real-time ambient sound recognition system on a smartphone. AmbientSense continuously recognizes user context by analyzing ambient sounds sampled from a smartphone's microphone. The phone provides a user with realtime feedback on recognised context. AmbientSense is implemented as an Android app and works in two modes: in autonomous mode processing is performed on the smartphone only. In server mode recognition is done by transmitting audio features to a server and receiving classification results back. We evaluated both modes in a set of 23 daily life ambient sound classes and describe recognition performance, phone CPU load, and recognition delay. The application runs with a fully charged battery up to 13.75 h on a Samsung Galaxy SII smartphone and up to 12.87 h on a Google Nexus One phone. Runtime and CPU load were similar for autonomous and server modes.