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Evaluation of a Wind Noise Reduction Method Using DNN for Bicycle Audio Augmented Reality Systems

机译:用于自行车音频增强现实系统DNN的风噪降低方法评价

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In a previous study, we studied wind noise reduction methods to use with navigation systems for bicycles. As a result, the Wiener (iteration) filter was superior in wind noise elimination performance, and it was able to give a very high navigation speech intelligibility. However, not only the wind noise but also the environmental sounds were overly attenuated. Therefore, in this paper, DNN was introduced to wind noise reduction, Wind noise reduction and environmental sound performance were evaluated. As a result, it was concluded that DNN has high wind noise removal performance while environmental sound can be preserved.
机译:在以前的一项研究中,我们研究了与自行车导航系统一起使用的风降噪方法。因此,维纳(迭代)过滤器在风噪声消除性能方面优越,并且能够提供非常高的导航语音可懂度。然而,不仅风噪声而且环境声音也经过过度衰减。因此,在本文中,将DNN引入风噪声降低,评估风降噪和环境声音性能。结果,得出结论,DNN具有高风噪声清除性能,而环境声音可以保留。

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