使用不同插入式耳机的声响数据之间的域调整方法
Kiyean Kim1, Sangyeon Kim2, Sukkyu Sun3
1Mobile Experience Division, Samsung Electronics Co. Ltd., Suwon 443-742, Republic of Korea.
The Journal of the Acoustical Society of America
|April 11, 2024
概括
本研究引入了一个域调整方法,以改善不同设备的耳机声响应分类. 这种方法减少了数据收集需求,并提高了用于耳内检测的分类准确性.
科学领域:
- 声学 声学 在声学方面
- 机器学习 机器学习
- 信号处理 信号处理
背景情况:
- 从耳机分类声响应可以确定耳机的存在,但面临的挑战是由于设备之间的域不匹配.
- 当前的分类算法在应用于新型耳机机型时,与性能退化作斗争.
研究的目的:
- 提出和验证一个域适应方法,用于不同的插入耳机模型的声响数据.
- 提高用于检测耳机存在 (在耳朵内或外) 的分类算法的性能.
主要方法:
- 一个域适应函数是使用声载数据集进行训练的.
- 这生成了一个适应域的数据集,用于在目标域中训练分类算法.
- 该方法在两个不同的插入式耳机模型上进行了测试.
主要成果:
- 提出的方法证明了有效的域名适应质量.
- 在耳机存在分类任务中观察到显著的性能提升.
- 与原始数据集相比,这种方法需要的测量量要少得多.
结论:
- 开发的域适应方法有效地解决了因耳机声响应分类中的域不匹配引起的性能问题.
- 这种技术可以减少数据收集的时间和精力,为未来的设备提供可重复使用的解决方案.
- 该方法提高了耳机存在检测系统的准确性和效率.
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