Life Sounds Extraction and Classification in Noisy Environment
Life Sounds Extraction and Classification in Noisy Environment
复制标题
噪声环境下生命声音的提取与分类
DOI：
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
E. Castelli
中科院分区：
文献类型：
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作者：
Michel Vacher;D. Istrate;L. Besacier;J. Serignat;E. Castelli
本文研究了噪声环境下的声音事件检测问题，提出了一种第一分类方法。检测是我们的声音分析系统的第一步，并且在开始分类步骤之前提取重要的声音是必要的。我们提出了三个原始的事件检测算法。在这些算法中，一种是基于小波的，并给出了最好的性能。我们评估和比较他们的表现在一个嘈杂的en-encounment与国家的最先进的算法在该领域。然后，我们提出了一个统计研究，以获得必要的声学参数的训练和声音分类结果。将检测算法和声音分类应用于远程医疗监护。我们用麦克风代替摄像机来测量生命的声音，以保护病人的隐私。
This paper deals with the sound event detection in a noisy environment and presents a first classification approach. Detection is the first step of our sound analysis system and is necessary to extract the significant sounds before ini-tiating the classification step. We present three original event detection algorithms. Among these algorithms, one is based on the wavelet and gives the best performances. We evaluate and compare their performance in a noisy en-vironment with the state of the art algorithms in the field. Then, we present a statistical study to obtain the acous-tical parameters necessary for the training and, the sound classification results. The detection algorithms and sound classification are applied to medical telemonitoring. We re-place video camera by microphones surveying life sounds in order to preserve patient's privacy.