一种双微阵列语音增强方法

曾庆宁; 肖强; 王瑶; 谢先明; 龙超

doi:10.11999/JEIT170758

一种双微阵列语音增强方法

doi: 10.11999/JEIT170758

基金项目:

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)

计量
- 文章访问数: 1243
- HTML全文浏览量: 174
- PDF下载量: 117
- 被引次数: 0
出版历程
- 收稿日期: 2017-07-25
- 修回日期: 2018-01-11
- 刊出日期: 2018-05-19

A Dual Micro-array Speech Enhancement Method

Funds:

The National Natural Science Foundation of China (61461011), The Key Laboratory of Cognitive Radio and Information Processing of Ministry of Education 2016 (CRKL 160107), The Key Project of Guangxi Natural Science Foundation (2016GXNSFDA380018), The Guangxi Wireless Broadband Communication and Signal Processing Key Laboratory Foundation Project (CRKL170108), 2017 Guilin University of Electronic Technology Graduate Innovation Project (2017YJCX16, 2017YJCX20)

摘要

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。
- 语音信号处理 /
- 子带谱减 /
- 广义旁瓣抵消 /
- 双微阵列
Abstract: 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.
- Speech signal processing /
- Subband spectrum subtraction /
- Generalized sidelobe canceller /
- Dual micro- array

HTML全文

参考文献(21)

BOLL S. A spectral subtraction algorithm for suppression of acoustic noise in speech[C]. IEEE International Conference on Acoustics, Speech, and Signal Processing, Washington, D.C., USA, 1979: 200-203.

BEROUTI M, SCHWAERTZ R, and MAKHOUL J. Enhancement of speech corrupted by acoustic noise[C]. IEEE International Conference on Acoustics, Speech, and Signal Processing, Washington, D.C., 2003: 208-211.

THOONSAENGNGAM R and TANGSANGIUMVISAI N. The a priori SDR estimation techniques with reduced speech distortion for acoustic echo and noise suppression[J]. IEICE Transactions on Communications, 2009, 92-B(10): 3022-3033. doi: 10.1587/transcom.E92.B.3022.

SALDANHA J C and SHRUTHI O R. Reduction of noise for speech signal enhancement using spectral subtraction method[C]. International Conference on Information Science, Kochi, India, 2017: 44-47.

JINSOO P, WOOIL K, HAN K D, et al. Two-microphone generalized sidelobe canceller with post-filter based speech enhancement in composite noise[J]. ETRI Journal, 2015, 38(2): 366-375.

ZHANG M, WU S, GUO W, et al. A microphone array dereverberation algorithm based on TF-GSC and postfiltering[C]. IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, Nara, Japan, 2016: 1-4.

RAHMANI M, AKBARI A, AYAD B, et al. Noise cross PSD estimation using phase information in diffuse noise field[J]. Signal Processing, 2009, 89(5): 703-709. doi: 10.1016/j.sigpro. 2008.10.020.

YOUSEFIAN N, KOKKINAKIS K, and LOIZOU P C. A coherence-based algorithm for noise reduction in dual- microphone applications[C]. Signal Processing Conference, Aalborg, Denmark, 2010: 1904-1908.

YOUSEFIAN N and LOIZOU P C. A dual-microphone speech enhancement algorithm based on the coherence function[J]. IEEE Transactions on Audio Speech Language Processing, 2011, 20(2): 599-609. doi: 10.1109/TASL.2011. 2162406.

YOUSEFIAN N, LOIZOU P C, and HANSEN J H L. A coherence-based noise reduction algorithm for binaural hearing aids[J]. Speech Communication, 2014, 58(1): 101-110.

杨立春, 钱沄涛. 基于相干性滤波器的广义旁瓣抵消器麦克风小阵列语音增强方法[J]. 电子与信息学报, 2012, 34(12): 3027-3033. doi: 10.3724/SP.J.1146.2012.00557.

YANG Lichun and QIAN Yuntao. Speech enhancement with generalized sidelobe canceller based on a coherence-based filter for small microphone arrays[J]. Journal of Electronics Information Technology, 2012, 34(12): 3027-3033. doi: 10.3724/SP.J.1146.2012.00557.

CHEN Y and GONG Q. A normalized beamforming algorithm for broadband speech using a continuous interleaved sampling strategy[J]. IEEE Transactions on Audio Speech Language Processing, 2012, 20(3): 868-874. doi: 10.1109/TASL.2011.2166959.

马金龙, 曾庆宁, 胡丹, 等. 基于麦克风小阵的多噪声环境语音增强算法[J]. 计算机应用, 2015, 35(8): 2341-2344.

MA Jinlong, ZENG Qingning, HU Dan, et al. Speech enhancement algorithm based on microphone array under multiple noise environments[J]. Journal of Computer Applications, 2015, 35(8): 2341-2344.

MCCOWAN I A and BOURLARD H. Microphone array post-filter for diffuse noise field[C]. IEEE International Conference on Acoustics, Speech, and Signal Processing, Orlando, FL, USA, 2002: I-905-I-908.

LI C and LIU W J. A novel multi-band spectral subtraction method based on phase modification and magnitude compensation[C]. IEEE International Conference on Acoustics, Speech and Signal Processing, Prague, Czech Republic, 2011: 4760-4763.

AUNG T T, THUMCHIRDCHUPONG H, TANGSANGIUMVISAI N, et al. Two-microphone subband noise reduction scheme with a new noise subtraction parameter for speech quality enhancement[J]. IET Signal Processing 2015, 9(2): 130-142. doi: 10.1049/iet-spr.2013. 0182.

GU A, RIN A, LE B J, et al. A two-sensor noise reduction system: Applications for hands-free car kit[J]. EURASIP Journal on Advances in Signal Processing, 2003(11): 1-10.

WANG Y. A post-filtering technique for enhancing acoustic echo cancelation system[C]. International Conference on Web Information Systems and Mining, Chengdu, China, 2012: 73-80.

CHEN J, BENESTY J, and HUANG Y. Performance of GCC-and AMDF-based time-delay estimation in Practical reverberant environments[J]. Eurasip Journal on Advances in Signal Processing, 2005(1): 498964.

施引文献

资源附件(0)

访问统计