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扬声器-用作传感器来检测人工智能的声学负载
Noori Kim1, Hui-Jun Kim2, Sung-Hee Kim2
1School of Engineering Technology, Purdue University, West Lafayette, Indiana 47907, USA.
The Journal of the Acoustical Society of America
|August 23, 2024
概括
扬声器可以充当传感器,通过测量电阻来检测耳朵状况. 机器学习模型在使用这种新的声学传感方法来分类耳道状态时取得了高准确性.
科学领域:
- 声学传感 声学传感 声学传感
- 生物医学工程 生物医学工程
- 人工智能的人工智能
背景情况:
- 以前的研究表明,扬声器可以检测耳道疾病.
- 这项研究扩展了使用扬声器作为声学传感器的研究.
研究的目的:
- 使用单个扬声器在各种声载中测量电阻.
- 根据阻抗数据开发和评估用于耳部状况检测的机器学习模型.
主要方法:
- 收集并预处理的电阻数据.
- 训练有素的卷积神经网络 (CNN) 模型 (AlexNet,ResNet,DenseNet) 使用2100个数据样本.
- 测试了不同的数据表示,包括大小和联合大小-阶段.
主要成果:
- 在二进制分类 (0.9716) 和多类分类 (0.907) 中实现了高精度.
- 证明了CNN在分析基于扬声器的阻抗数据中的有效性.
- 验证了不同图像形式在模型培训中的潜力.
结论:
- 这项研究成功地利用单个扬声器作为传感器来检测耳朵状况.
- 这种由人工智能驱动的方法显示出对彻底改变声学传感的前景.
- 高分类准确度表明,非侵入性耳部评估是一种可行的方法.
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