ALE for robots! A single-channel approach to robot self-noise cancellation

机译：机器人的ALE！机器人自噪声消除的单通道方法

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In this paper we investigate an Adaptive Line Enhancer (ALE) for the cancellation of robot self-noise. In contrast to many other methods, it requires only a single microphone and can be combined with any other single- and multi-channel noise reduction method. The proposed ALE is implemented in the frequency domain (FDALE) and performs noise cancellation with respect to magnitude and phase. It therefore has the potential to reduce noise components without introducing distortions of the target signal. We combine the ALE with a traditional single-channel noise reduction filter, where the former cancels predictable noise components and the latter suppresses the random noise components. We apply this approach to an automatic speech recognition task and show that significant improvements can be obtained.

机译：在本文中，我们研究了一种自适应线路增强器（ALE），用于消除机器人的自噪声。与许多其他方法相比，它只需要一个麦克风，即可与其他任何单通道和多通道降噪方法结合使用。拟议的ALE在频域（FDALE）中实现，并在幅度和相位方面执行噪声消除。因此，它有可能在不引入目标信号失真的情况下减少噪声分量。我们将ALE与传统的单通道降噪滤波器结合在一起，前者消除了可预测的噪声分量，而后者则抑制了随机噪声分量。我们将这种方法应用于自动语音识别任务，并表明可以获得明显的改进。

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来源
《2016 IEEE International Workshop on Acoustic Signal Enhancement》|2016年|1-5|共5页
会议地点 Xian(CH)
作者
Jalal Taghia; Dorothea Kolossa; Rainer Martin;
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作者单位

Institute of Communication Acoustics, Ruhr-Universität Bochum, Bochum, Germany;

Institute of Communication Acoustics, Ruhr-Universität Bochum, Bochum, Germany;

Institute of Communication Acoustics, Ruhr-Universität Bochum, Bochum, Germany;

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原文格式 PDF
正文语种 eng
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关键词
Robots; Speech; Noise measurement; Microphones; Frequency-domain analysis; Prediction algorithms; Discrete Fourier transforms;

机译：机器人;语音;噪声测量;麦克风;频域分析;预测算法;离散傅里叶变换;

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ALE for robots! A single-channel approach to robot self-noise cancellation

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