Robust wind noise detection
Robust wind noise detection
复制标题
强大的风噪声检测
DOI：
10.1109/icassp.2014.6854283
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
C. M. Tan
中科院分区：
文献类型：
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作者：
Justin A. Zakis;C. M. Tan
风噪声可能是助听器、人工耳蜗、电话和耳机等音频设备的主要问题。先前的风噪声检测算法通常假设两个麦克风之间的大的电平和/或相位差指示风噪声，而小的差异指示其不存在。然而，由于麦克风不匹配、声反射或麦克风间距引起的相移，在没有风噪声的情况下可能存在差异。本文表明，以前的算法并不总是正确区分风和非风的麦克风信号差异的原因，这可能会导致风噪声降低处理的不适当的参与。提出了一种新颖的算法，该算法在示例性助听器应用中对麦克风信号执行有效的统计分析，该算法对非风原因差异以及因此对错误的风噪声检测基本上更鲁棒。
Wind noise can be a major problem with audio devices such as hearing aids, cochlear implants, phones and headsets. Previous wind-noise detection algorithms generally assume that large level and/or phase differences between two microphones indicate wind noise, while small differences indicate its absence. However, differences may exist without wind noise due to unmatched microphones, acoustic reflections, or the phase shift caused by the microphone spacing. This paper shows that previous algorithms do not always correctly differentiate between wind and non-wind causes of microphone signal differences, which could lead to the inappropriate engagement of wind-noise reduction processing. A novel algorithm is presented, which performs an efficient statistical analysis of the microphone signals that is substantially more robust against non-wind causes differences, and hence false wind-noise detection, in an exemplary hearing-aid application.