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1.中国科学院 长春光学精密机械与物理研究所, 吉林 长春 130033
2.中国科学院大学, 北京 100049
[ "吕韬 (1991-), 男, 浙江绍兴人, 博士研究生, 2014年于浙江工业大学获得学士学位, 主要从事相干微振动测量信号处理技术的研究。E-mail:18767120269@163.com" ]
[ "郭劲(1964-),男,吉林长春人,研究员,博士生导师,2007年于中科院长春光机所获得博士学位,主要从事激光与物质相互作用技术的研究。E-mail:郭劲@126.com" ]
收稿日期:2016-08-25,
录用日期:2016-11-10,
纸质出版日期:2017-03-25
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吕韬, 张合勇, 郭劲, 等. 远距离语音的激光相干获取及增强[J]. 光学 精密工程, 2017,25(3):569-575.
Tao LÜ, He-yong ZHANG, Jin GUO, et al. Acquisition and enhancement of remote voice based on laser coherent method[J]. Optics and precision engineering, 2017, 25(3): 569-575.
吕韬, 张合勇, 郭劲, 等. 远距离语音的激光相干获取及增强[J]. 光学 精密工程, 2017,25(3):569-575. DOI: 10.3788/OPE.20172503.0569.
Tao LÜ, He-yong ZHANG, Jin GUO, et al. Acquisition and enhancement of remote voice based on laser coherent method[J]. Optics and precision engineering, 2017, 25(3): 569-575. DOI: 10.3788/OPE.20172503.0569.
基于激光相干探测理论建立了全光纤激光相干测振系统,并结合维纳语音增强技术实现了远距离、高质量语音信号的获取。首先,介绍了该系统的检测原理及光纤器件特性,搭建了全光纤激光相干测振实验系统检测发音者咽喉振动,从而实现远距离语音信号的获取。由于直接获取的语音信号受到严重的噪声干扰,采用基于最小控制递归平均算法估计噪声的维纳滤波来抑制噪声,提高语音质量。实验结果显示:激光相干测振系统可有效获取70 m内的语音信号(检测喉咙振动还原语音);语音增强技术可有效抑制噪声,将信噪比提高5 dB,并增强语音的清晰度。由此表明,该系统具备获取远距离、高质量语音信号的能力。
An all-fiber Laser Doppler Vibrometer (LDV) based on laser coherent method was investigated to acquire remote and high quality speech signals
combining with the Wiener speech enhancement technology. First
the heterodyne detection theory and the characteristic of fiber devices were introduced and the all-fiber LDV was established experimentally to detect the throat vibration
thus the remote voice was acquired. Whereas the direct acquisition of speech signals was prone to be disturbed by serious noise
the Wiener Filtering based on Minima Controlled Recursive Averaging (MCRA) was used to suppress the noise and improve the voice quality. The results indicate that the comprehensible speech signals within the range of 70 m can be obtained by the LDV. The speech enhancement technology can suppress the noise effectively and the Signal to Noise Ratio (SNR) was increased by 5 dB
thus the speech intelligibility was improved. This system has ability to acquire remote voice with high quality.
刘立生, 张合勇, 王挺峰, 等.激光外差探测对振动目标多普勒频谱成像[J].光学 精密工程, 2015, 23(6): 1508-1515.
LIU L SH, ZHANG H Y, WANG T F, et al.. Doppler spectrum imaging of vibrating target using laser heterodyne detection [J]. Opt. Precision Eng., 2015, 23(6): 1508-1515.(in Chinese)
刘立生, 张合勇, 郭劲, 等.用激光外差技术高精度测量目标速度[J].光学 精密工程, 2011, 19(10): 2366-2372.
LIU L SH, ZHANG H Y, GUO J, et al.. High precise measurement of target velocity using laser heterodyne technology [J]. Opt. Precision Eng., 2015, 23(6): 1508-1515.(in Chinese)
QU Y F, WANG T, ZHU Z G. Remote audio/video acquisition for human signature detection [C]. 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2009: 66-71.
LI W, LIU M, ZHU Z, et al.. LDV remote voice acquisition and enhancement [C]. International Conference on Pattern Recognition, 2006: 262-265.
WANG T, ZHU Z G, DIVAKARAN A. Long range audio and audio-visual event detection using a laser doppler vibrometer [J]. SPIE, 2010, 7704: 77040J-77040J-6.
QU Y F, WANG T, ZHU Z G. An active multimodal sensing platform for remote voice detection [C]. Proceedings of 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), IEEE, 2010: 627-632.
AVARGEL Y, COHEN I. Speech measurements using a laser Doppler vibrometer sensor: Application to speech enhancement [C]. Proceedings of 2011 Joint Workshop on Hands-Free Speech Communication and Microphone Arrays, IEEE, 2011: 109-114.
SHANG J H, HE Y, LIU D, et al.. Laser Doppler vibrometer for real-time speech-signal acquirement [J]. Chinese Optics Letters, 2009, 7(8): 732-733.
JIAN J H, ZHAO SH G, HE Y, et al.. Experimental study on minimum resolvable velocity for heterodyne laser Doppler vibrometry [J]. Chinese Optics Letters, 2011, 9(8): 081201.
BAUER M, RITTER F, SIEGMUND G. High-precision laser vibrometers based on digital Doppler signal processing [J]. SPIE, 2002, 4827: 50-61.
张东方. 基于短时谱估计的低信噪比语音增强技术研究[D]. 郑州: 解放军信息工程大学, 2012.
ZHANG D F. Speech Enhancement Technique Research in Low SNR Conditions Based on Short-Time Spectrum Estimation [D]. Zhengzhou:PLA Information Engineering University, 2012.(in Chinese)
袁文浩. 基于噪声估计的语音增强方法研究[D]. 上海: 华东理工大学, 2013.
YUANG W H. Study on Noise Estimation-based Speech Enhancement Approaches [D]. Shanghai:East China University of Science and Technology, 2013.(in Chinese)
靳晨升. 语音增强算法的研究[D]. 太原: 太原理工大学, 2010.
JIN CH SH. The Research of Speech Enhancement Algorithm [D]. Taiyuan:Taiyuan University of Technology, 2010.(in Chinese)
宋知用. MATLAB在语音信号分析与合成中的应用[M].北京:北京航天航空大学出版社, 2013.
SONG ZH Y. Application of MATLAB in Speech Analysis and Synthesis [M]. Beijing: Beihang University Press, 2013.(in Chinese)
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