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PIER PIER B PIER C PIER M PIER Letters
2012-07-13
A New Kind of Non-Acoustic Speech Acquisition Method Based on Millimeter Waveradar
By
Sheng Li,

    Dr. Sheng Li

    Department of Biomedical Engineering

    The Fourth Military Medical University

    China

    Homepage

Ying Tian,

    Dr. Ying Tian

    College of Biomedical Engineering

    The Fourth Military Medical University

    China

    Homepage

Guohua Lu,

    Dr. Guohua Lu

    School of Biomedical Engineering

    The Fourth Military Medical University

    China

    Homepage

Yang Zhang,

    Dr. Yang Zhang

    School of Biomedical Engineering

    The Fourth Military Medical University

    China

    Homepage

Hui Jun Xue,

    Dr. Hui Jun Xue

    College of Biomedical Engineering

    The Fourth Military Medical University

    China

    Homepage

Jian-Qi Wang,

    Dr. Jian-Qi Wang

    Department of Biomedical Engineering

    The Fourth Military Medical University

    China

    Homepage

Xi-Jing Jing

    Dr. Xi-Jing Jing

    Department of Biomedical Engineering

    The Fourth Military Medical University

    China

    Homepage

Progress In Electromagnetics Research, Vol. 130, 17-40, 2012
doi:10.2528/PIER12052207
Abstract
Air is not the only medium that can spread and can be used to detect speech. In our previous paper, another valuable medium - millimeter wave (MMW) was introduced to develop a new kind of speech acquisition technique [Li et al., Progress In Electromagnetics Research B, 9, 199-214, 2008]. Because of the special features of the MMW radar, this speech acquisition method may provide some exciting possibilities for a wide range of applications. In the proposed study, we have designed a new kind of speech acquisition radar system. The super-heterodyne receiver was used in the new system so that to mitigate the severe DC offset problem and the associated 1/f noise at baseband. Furthermore, in order to decrease the harmonic noise, electro-circuit noise, and ambient noise which were combined in the MMW detected speech, an adaptive wavelet packet entropy algorithm is also proposed in this study, which incorporates the wavelet packet entropy based voice/unvoiced radar speech adaptive detection method and the human ear perception properties in a wavelet packet time-scale adaptation speech enhancement process. The performance of the proposed method is evaluated objectively by signal-to-noise ratio and subjectively by mean-opinion-score. The results confirm that the proposed method offers improved effects over other traditional speech enhancement methods for MMW radar speech.
Citation
Sheng Li, Ying Tian, Guohua Lu, Yang Zhang, Hui Jun Xue, Jian-Qi Wang, and Xi-Jing Jing, "A New Kind of Non-Acoustic Speech Acquisition Method Based on Millimeter Waveradar," Progress In Electromagnetics Research, Vol. 130, 17-40, 2012.
doi:10.2528/PIER12052207
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