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A Novel Method for Speech Acquisition and Enhancement by 94 GHz Millimeter-Wave Sensor
In order to improve the speech acquisition ability of a non-contact method, a 94 GHz millimeter wave (MMW) radar sensor was employed to detect speech signals. This novel non-contact speech acquisition method was shown to have high directional sensitivity, and to be immune to strong acoustical distur...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732083/ https://www.ncbi.nlm.nih.gov/pubmed/26729126 http://dx.doi.org/10.3390/s16010050 |
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author | Chen, Fuming Li, Sheng Li, Chuantao Liu, Miao Li, Zhao Xue, Huijun Jing, Xijing Wang, Jianqi |
author_facet | Chen, Fuming Li, Sheng Li, Chuantao Liu, Miao Li, Zhao Xue, Huijun Jing, Xijing Wang, Jianqi |
author_sort | Chen, Fuming |
collection | PubMed |
description | In order to improve the speech acquisition ability of a non-contact method, a 94 GHz millimeter wave (MMW) radar sensor was employed to detect speech signals. This novel non-contact speech acquisition method was shown to have high directional sensitivity, and to be immune to strong acoustical disturbance. However, MMW radar speech is often degraded by combined sources of noise, which mainly include harmonic, electrical circuit and channel noise. In this paper, an algorithm combining empirical mode decomposition (EMD) and mutual information entropy (MIE) was proposed for enhancing the perceptibility and intelligibility of radar speech. Firstly, the radar speech signal was adaptively decomposed into oscillatory components called intrinsic mode functions (IMFs) by EMD. Secondly, MIE was used to determine the number of reconstructive components, and then an adaptive threshold was employed to remove the noise from the radar speech. The experimental results show that human speech can be effectively acquired by a 94 GHz MMW radar sensor when the detection distance is 20 m. Moreover, the noise of the radar speech is greatly suppressed and the speech sounds become more pleasant to human listeners after being enhanced by the proposed algorithm, suggesting that this novel speech acquisition and enhancement method will provide a promising alternative for various applications associated with speech detection. |
format | Online Article Text |
id | pubmed-4732083 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-47320832016-02-12 A Novel Method for Speech Acquisition and Enhancement by 94 GHz Millimeter-Wave Sensor Chen, Fuming Li, Sheng Li, Chuantao Liu, Miao Li, Zhao Xue, Huijun Jing, Xijing Wang, Jianqi Sensors (Basel) Article In order to improve the speech acquisition ability of a non-contact method, a 94 GHz millimeter wave (MMW) radar sensor was employed to detect speech signals. This novel non-contact speech acquisition method was shown to have high directional sensitivity, and to be immune to strong acoustical disturbance. However, MMW radar speech is often degraded by combined sources of noise, which mainly include harmonic, electrical circuit and channel noise. In this paper, an algorithm combining empirical mode decomposition (EMD) and mutual information entropy (MIE) was proposed for enhancing the perceptibility and intelligibility of radar speech. Firstly, the radar speech signal was adaptively decomposed into oscillatory components called intrinsic mode functions (IMFs) by EMD. Secondly, MIE was used to determine the number of reconstructive components, and then an adaptive threshold was employed to remove the noise from the radar speech. The experimental results show that human speech can be effectively acquired by a 94 GHz MMW radar sensor when the detection distance is 20 m. Moreover, the noise of the radar speech is greatly suppressed and the speech sounds become more pleasant to human listeners after being enhanced by the proposed algorithm, suggesting that this novel speech acquisition and enhancement method will provide a promising alternative for various applications associated with speech detection. MDPI 2015-12-31 /pmc/articles/PMC4732083/ /pubmed/26729126 http://dx.doi.org/10.3390/s16010050 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chen, Fuming Li, Sheng Li, Chuantao Liu, Miao Li, Zhao Xue, Huijun Jing, Xijing Wang, Jianqi A Novel Method for Speech Acquisition and Enhancement by 94 GHz Millimeter-Wave Sensor |
title | A Novel Method for Speech Acquisition and Enhancement by 94 GHz Millimeter-Wave Sensor |
title_full | A Novel Method for Speech Acquisition and Enhancement by 94 GHz Millimeter-Wave Sensor |
title_fullStr | A Novel Method for Speech Acquisition and Enhancement by 94 GHz Millimeter-Wave Sensor |
title_full_unstemmed | A Novel Method for Speech Acquisition and Enhancement by 94 GHz Millimeter-Wave Sensor |
title_short | A Novel Method for Speech Acquisition and Enhancement by 94 GHz Millimeter-Wave Sensor |
title_sort | novel method for speech acquisition and enhancement by 94 ghz millimeter-wave sensor |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732083/ https://www.ncbi.nlm.nih.gov/pubmed/26729126 http://dx.doi.org/10.3390/s16010050 |
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