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一种适用于双微阵列的语音增强算法

A Speech Enhancement Algorithm for Dual-mini Microphone Array
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摘要 考虑到传统单通道语音增强算法对噪声抑制的局限性,采用由两个微型麦克风阵列组成的双微阵列;利用该阵列空间结构的时空域特性对含噪语音进行处理,提出了一种适用于双微阵列的语音增强算法;该增强算法是将各通道采集到的带噪语音信号先使用对数最小均方误差(logarithmic minimum mean square error,Log MMSE)提升其信噪比;然后利用频域宽带最小方差无畸变响应(MVDR)通过对目标声源信号的获取,保留目标声源方向的信号并抑制其他方向的信号干扰;最后通过一个改进可懂度结合改进最小控制递归平均(improved minimum controlled recursive average algorithm,IMCRA)噪声估计的维纳滤波器来去除噪声残留提升语音质量。仿真实验结果表明,相比传统的单通道语音增强算法,该算法具有良好的噪声抑制性能。 Considering the limitations of traditional single channel speech enhancement algorithm for noise suppression,a dual-mini microphone array consisting of two microphones array is employed.The noisy speech is processed by the temporal and spatial characteristics of the spatial structure of the array,and a speech enhancement algorithm based on dual-mini microphone array is proposed.The speech enhancement algorithm uses the logarithmic minimum mean square error(LogMMSE)to enhance the signal-to-noise(SNR)of the noisy speech signals collected by each channel.Then,the signal in the target source direction is obtained and retained by using the wideband minimum variance distortionless response(MVDR)in the frequency domain,which also suppresses the signal interference in other directions.Finally,an improved intelligibility and improved minimum controlled recursive averaging combination(IMCRA)Wiener filter for noise estimation to remove residual noise can be used to improve the speech quality.Simulation results show that compared with the traditional single channel speech enhancement algorithm,the proposed algorithm has good performance in noise suppression.
作者 毛维 曾庆宁 龙超 MAO Wei;ZENG Qing-ning;LONG Chao(School of Information and Communication,Guilin University of Electronic Technology,Guilin 541004,China)
出处 《科学技术与工程》 北大核心 2018年第10期245-249,共5页 Science Technology and Engineering
基金 国家自然科学基金(61461011) 教育部重点实验室2016年主任基金(CRKL160107) 桂林电子科技大学研究生科研创新项目(2017YJCX16 2017YJCX20)资助
关键词 双微阵列 语音增强 对数最小均方误差 最小方差无畸变响应 改进最小控制递归平均 维纳滤波 dual-mini microphone array speech enhancement logarithmic minimum mean square error minimum variance distortionless response improved minimum controlled recursive average algorithm Wiener filter
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  • 1竺士蒙,宋明凯,宫先仪.一种改善MVDR波束形成性能的方法[J].声学学报,1993,18(1):54-60. 被引量:5
  • 2卜凡亮,王为民,戴启军,陈砚圃.基于噪声被掩蔽概率的优化语音增强方法[J].电子与信息学报,2005,27(5):753-756. 被引量:16
  • 3李楠.一种小波变换与维纳滤波结合的语音抗噪研究[J].电声技术,2007,31(5):46-48. 被引量:4
  • 4Loizou P C.Speech enhancement theory and practice[M].Boca Raton London New York:CRC Press.
  • 5Tsoukalas D E, Mourjopoulos J N, Kokkonakis G.Speech enhancement based on audible noise suppression[J].IEEE Trans on Speech Audio Process, 1997,5(6) :497-514.
  • 6Tsoukalas D E, Paraskevas M, Mourjopoulos J N.Speech enhancement using psychoacoustic criteria[C]//Proe IEEE IntConf Acoust Speech Signal Process,1993:359-362,.
  • 7Srinivasan S, Samuelsson J, Kleijn B.Speeeh enhancement using a-priori information[C]//Proc Eurospeech,2003:1405-1408.
  • 8Srinivasan S, Samuelsson J, Kleijn B.Codebook driven short-term predictor parameter estimation for speech enhancement[J].IEEE Trans on Speech Process,2006,14( 1 ) : 163-176.
  • 9Hirsch H, Ehrlicher C.Noise estimation techniques for robust speech recognition[C]//Proc IEEE Int Conf Acoust Speech Signal Process, 1995:153-156.
  • 10Johnston J D.Transform coding of audio signal using perceptual noise criteria[J].lEEE J on Select Areas Commun, 1988,6(2): 314-323.

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