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一种双微阵列语音增强方法 被引量:6

A Dual Micro-array Speech Enhancement Method
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摘要 为提高语音通信系统在噪声环境下的使用性能,该文提出一种基于子带谱减与广义旁瓣抵消的双微阵列语音增强方法。基于双微阵列及子带结构分析,首先分别在低频带采用可变过减因子谱减法抑制噪声,在高频带采用修改互功率谱谱减法抑制非相干性噪声部分,再结合广义旁瓣抵消与端点检测进一步抑制强相关性噪声的影响。实验结果表明,该方法能够更加有效地抑制噪声的影响并提高语音的可懂度。 In order to improve the performance of speech communication system in noisy environment, a dual micro-array speech enhancement method based on subband spectrum subtraction and generalized sidelobe canceller is proposed. Based on dual micro-array structure and the subband structure analysis, this method suppresses the noise in the low frequency band by the spectrum subtraction method which may employ variable over-subtraction factor in it and suppresses the non-coherent noise part in the high frequency band by modifying cross power spectrum subtraction method, respectively. Then generalized sidelobe canceller and voice activity detector are combined with the method mentioned above to further suppress the influence of strong coherent noise further. The experimental results show that the proposed method can suppress the influence of noise and improve the intelligibility of speech more effectively.
作者 曾庆宁 肖强 王瑶 谢先明 龙超 ZENG Qingning;XIAO Qiang;WANG Yao;XIE Xianming;LONG Chao(Key Laboratory of Cognitive Radio and Information Processing of Ministry of Education,Guilin University of Electronic Technology,Guilin 541004,China)
出处 《电子与信息学报》 EI CSCD 北大核心 2018年第5期1187-1194,共8页 Journal of Electronics & Information Technology
基金 国家自然科学基金(61461011) 认知无线电与信息处理教育部重点实验室2016年主任基金(CRKL160107) 广西自然科学基金重点项目(2016GXNSFDA380018) 广西无线宽带通信与信号处理重点实验室基金项目(CRKL170108) 2017桂林电子科技大学研究生创新项目(2017YJCX16 2017YJCX20)~~
关键词 语音信号处理 子带谱减 广义旁瓣抵消 双微阵列 Speech signal processing Subband spectrum subtraction Generalized sidelobe canceller Dual micro- array
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  • 1Brandstein M and Ward D. Microphone Arrays: Signal Processing Techniques and Applications[M]. Berlin: Springer Verlag, 2001, Chapter 1.
  • 2Doclo S and Moonen M. Superdirective beamforming robust against microphone mismatch[J]. IEEE Transactions on Audio, Speech, and Language Processing, 2007, 15(2): 617-631.
  • 3Wang L, Ding H, Yin F, et al.. Combining superdirective beamforming and frequency-domain blind source separation for highly reverberant signals[J]. EURASIP Journal on Audio Speech, and Music Processing, 2010, 2010: 1-13.
  • 4Elko G W and Pong A N. A simple adaptive first-order differential microphone[C]. IEEE Inter-national Conference on Applications of Signal Processing to Audio and Acoustics, New Paltz, NY, USA, Oct. 1995: 169-172.
  • 5Wolff Buck M, Haulick T, and Schmidt G T. A compactmicrophone array system with spatial post-filtering for automotive applications[C]. IEEE International Conference on Acoustics, Speech and Signal Processing, Taipe, April. 2009: 221-224.
  • 6Chen J, Phua K, Shue L, et al.. Performance evaluation of adaptive dual microphone systems[J].Speech Communication, 2009, 51(12): 1180-1193.
  • 7Griffiths L and Jim C W. An alternative approach to linearly constrained adaptive beamforming[J]. IEEE Transactions on Antennas and Propagation, 1982, 30(1): 27-34.
  • 8Chan S C and Zhou Y. On the performance analysis of a class of transform-domain NLMS algorithms with gaussian inputs and mixture gaussian additive noise environment[J]. Journal of Signal Processing Systems, 2011, 64(3): 429-445.
  • 9Huang H and Lee J. A new variable step-size NLMS algorithm and its performance analysis[J]. IEEE Transactions on Signal Processing, 2012, 60(4): 2055-2060.
  • 10Joerg Bitzery, Klaus Uwe Simmerz, and Karl Dirk Kamm- eyery. Theoretical noise reduction limits of the general-ized sidelobe caneeller(GSC) for speech enhancement[C]. IEEE International Conference on Acoustics, Speech, and Signal Processing, Phoenix, AZ, USA, March. 1999: 2965-2968.

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