Smartphone application for automatic classification of environmental sound
Smartphone application for automatic classification of environmental sound
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发表时间：
2013-06
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通讯作者：
M. Mielke;R. Brück
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作者：
M. Mielke;R. Brück
声音是环境中事件的重要来源。它们传达有关事件的信息，即使这些事件不在视线范围内。这些信息可以警告人们危险正在发生。例如，行人可以估计车辆的距离以及车辆是否正在接近或离开。在这方面的贡献，移动的声音分类系统的基础上运行的Android操作系统的智能手机。该软件是用Java开发的，应用模式识别方法来识别环境声音。它从麦克风采集的数据中提取13个梅尔倒谱系数（MFCC），并使用神经网络对声音进行分类。模式识别方法的使用使得该方法易于适应不同的声音。作为应用实例，所提出的系统被训练来识别道路交通中的紧急车辆的声音。
Sounds are an important source for events in the environment. They convey information about events even when these are not in line of sight. This information can warn a person that a danger is occurring. E.g. a pedestrian can estimate the distance of a vehicle and if the vehicle is approaching or departing. In this contribution a mobile sound classification system based on a smartphone running the Android operating system is presented. The software was developed in Java and applies pattern recognition methods to recognize environmental sounds. It extracts thirteen Mel Frequency Cepstral Coefficients (MFCC) from the data collected by the microphone and classifies the sound using the neural network. The use of pattern recognition methods makes the approach easily adaptable to different sounds. As application example the presented system is trained to recognize sounds of emergency vehicles in road traffic.