Noise Suppression in 94 GHz Radar-Detected Speech Based on Perceptual Wavelet Packet

A millimeter wave (MMW) radar sensor is employed in our laboratory to detect human speech because it provides a new non-contact speech acquisition method that is suitable for various applications. However, the speech detected by the radar sensor is often degraded by combined noise. This paper propos...

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Bibliographic Details
Main Authors: Fuming Chen, Chuantao Li, Qiang An, Fulai Liang, Fugui Qi, Sheng Li, Jianqi Wang
Format: Article
Language:English
Published: MDPI AG 2016-07-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/18/7/265
Description
Summary:A millimeter wave (MMW) radar sensor is employed in our laboratory to detect human speech because it provides a new non-contact speech acquisition method that is suitable for various applications. However, the speech detected by the radar sensor is often degraded by combined noise. This paper proposes a new perceptual wavelet packet method that is able to enhance the speech acquired using a 94 GHz MMW radar system by suppressing the noise. The process is as follows. First, the radar speech signal is decomposed using a perceptual wavelet packet. Then, an adaptive wavelet threshold and new modified thresholding function are employed to remove the noise from the detected speech. The results obtained from the speech spectrograms, listening tests and objective evaluation show that the new method significantly improves the performance of the detected speech.
ISSN:1099-4300