A new speech enhancement algorithm for millimeter‐wave radar speech sensor

Jiao, Mingke; Lin, Liang-In; Hu, Jie; Geng, Xiliang; Zhang, Wenyuan; Zhang, Peng; Wang, Jianqi

doi:10.1002/mop.28294

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…In our previous study, we have researched many speech signal enhancement methods aimed at different radar systems. These methods restrain the residual noise and improve the speech quality of the corresponding radar system [22][23][24][25]. Although the noise of radar speech is greatly suppressed, the improvement of intelligibility is not obvious.…”

Section: Introductionmentioning

confidence: 99%

94 GHz Asymmetric Antenna Radar for Speech Signal Detection and Enhancement via Variational Mode Decomposition and Improved Threshold Strategy

Chen

Wang

2022

IEEE Access

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To further improve the detection distance and sensitivity of bio-radar, a 94 GHz asymmetric antenna radar sensor is employed to detect speech signal. However, the radar speech is often mixed with various noise, which will seriously affect the quality and intelligibility of the speech signal. Therefore, a novel method based on variational mode decomposition (VMD) and improved threshold strategy (ITS) is proposed in this paper for improving the quality and intelligibility of the radar speech. VMD is a novel adaptive decomposition method, which overcomes the problem of mode aliasing and end effect in empirical mode decomposition (EMD). ITS can overcome the limitation of traditional wavelet threshold and achieve the best compromise between speech intelligibility and noise reduction. Firstly, EMD is applied to determine the number of decomposition level, and then radar speech is decomposed into several limited bandwidth intrinsic mode functions by VMD. Secondly, ITS is employed to remove noise from useful modes which are determined by Pearson correlation coefficient (PCC). The performance of the proposed method is evaluated by perceptual evaluation of speech quality (PESQ), short-time objective intelligibility (STOI) and composite measures (CMs). The experimental results show that the radar sensor can detect long distance speech signal and the proposed method can effectively improve the quality and intelligibility of the radar speech signal. Due to the good performance, the proposed method will provide a promising alternative for various applications related to radar speech and traditional microphone speech signal enhancement.INDEX TERMS 94 GHz asymmetric antenna; radar speech; speech enhancement; variational mode decomposition; improved threshold strategy; composite measure

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Section: Introductionmentioning

confidence: 99%

94 GHz Asymmetric Antenna Radar for Speech Signal Detection and Enhancement via Variational Mode Decomposition and Improved Threshold Strategy

Chen

Wang

2022

IEEE Access

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“…In [18], a novel 35.5 GHz millimeter-wave radar sensor with a superheterodyne receiver and high operating frequency was presented to detect speech signals. Based on this radar, this group enhanced the radar speech signals with the proposed Wiener filter method based on the wavelet entropy and bispectrum algorithm by accurately estimating and updating the noise spectrum in terms of whole signal segments [19,20]. Moreover, they proposed a 94 GHz MMW radar system to detect human speech in free space [21,22] and utilized it to detect the vibration signal from human vocal folds [23].…”

Section: Introductionmentioning

confidence: 99%

Non-Contact Speech Recovery Technology Using a 24 GHz Portable Auditory Radar and Webcam

Hong

et al. 2020

Remote Sensing

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Language has been one of the most effective ways of human communication and information exchange. To solve the problem of non-contact robust speech recognition, recovery, and surveillance, this paper presents a speech recovery technology based on a 24 GHz portable auditory radar and webcam. The continuous-wave auditory radar is utilized to extract the vocal vibration signal, and the webcam is used to obtain the fitted formant frequency. The traditional formant speech synthesizer is selected to synthesize and recover speech, using the vocal vibration signal as the sound source excitation and the fitted formant frequency as the vocal tract resonance characteristics. Experiments on reading single English characters and words are carried out. Using microphone records as a reference, the effectiveness of the proposed speech recovery technology is verified. Mean opinion scores show a relatively high consistency between the synthesized speech and original acoustic speech.

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Speech Enhancement using Adaptive Mean Median Deviation and EMD Technique

Dubey

Singh

2019

2019 IEEE International Conference on Signals and Systems (ICSigSys)

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A new speech enhancement algorithm for millimeter‐wave radar speech sensor

Cited by 3 publications

References 22 publications

94 GHz Asymmetric Antenna Radar for Speech Signal Detection and Enhancement via Variational Mode Decomposition and Improved Threshold Strategy

94 GHz Asymmetric Antenna Radar for Speech Signal Detection and Enhancement via Variational Mode Decomposition and Improved Threshold Strategy

Non-Contact Speech Recovery Technology Using a 24 GHz Portable Auditory Radar and Webcam

Speech Enhancement using Adaptive Mean Median Deviation and EMD Technique

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