Journal of Computer Applications ›› 2015, Vol. 35 ›› Issue (8): 2341-2344.DOI: 10.11772/j.issn.1001-9081.2015.08.2341

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Speech enhancement algorithm based on microphone array under multiple noise environments

MA Jinlong, ZENG Qingning, HU Dan, LONG Chao, XIE Xianming   

  1. School of Information and Communication, Guilin University of Electronic Technology, Guilin Guangxi 541004, China
  • Received:2015-03-24 Revised:2015-06-02 Online:2015-08-10 Published:2015-08-14


马金龙, 曾庆宁, 胡丹, 龙超, 谢先明   

  1. 桂林电子科技大学 信息与通信学院, 广西 桂林 541004
  • 通讯作者: 曾庆宁(1963-),男,广西桂林人,教授,博士,主要研究方向:信号处理,
  • 作者简介:马金龙(1990-),男,湖南常德人,硕士研究生,主要研究方向:音频信号处理; 胡丹(1991-),男,湖南娄底人,硕士研究生,主要研究方向:音频信号处理; 龙超(1966-),女,湖南湘潭人,高级实验师,主要研究方向:机器人听觉; 谢先明(1979-),男,四川乐山人,副教授,博士,主要研究方向:雷达信号处理。
  • 基金资助:



In order to get better speech enhancement effect for hearing aids when used in the environment with non-stationary or multiple noise, which will lead a sharp decline effect of user experience, a Coherent Filter Generalized Sidelobe Canceller (CF-GSC) speech enhancement algorithm based on small size microphone array was proposed. Aiming at the weak correlation noise which caused by the waves, fans and other approximate white noise, as well as the strong correlation noise caused by the point or other competitive sources, coherent filtering and traditional Generalized Sidelobe Canceller (GSC) structure were utilized to remove weak correlation and strong correlation noise separately, the Voice Activity Detection (VAD) algorithm was also applied during this process. The simulation results show that the proposed algorithm can obtain enhancement effect by almost 2 dB compared with the improved coherent filter and traditional generalized sidelobe canceller method under the environment of a variety of noise, meanwhile, the speech intelligibility also gets obviously improved.

Key words: non-stationary noise, microphone array, Generalized Sidelobe Canceller (GSC), coherence filtering, speech enhancement


针对助听器等设备在非平稳或多种噪声并存环境下使用效果急剧下降的问题,提出一种基于小尺寸麦克风阵的相干滤波广义旁瓣抵消(CF-GSC)语音增强算法。该算法结合麦克风阵采集信号的特点,对各阵元间采集时表现为弱相关的海浪、风扇等近似白噪声,以及采集时表现为强相关的点源信号及其他竞争噪声,分别利用相干滤波和传统广义旁瓣抵消(GSC)结构对弱相关与强相关噪声的良好滤除效果,结合语音活动检测(VAD)在噪声段进行联合处理。仿真实验表明在多类噪声存在环境下,该算法能取得相对改进的通道间相干函数滤波算法及传统广义旁瓣抵消算法2 dB左右的增强效果提升,同时能获得良好的话音可懂度。

关键词: 非平稳噪声, 麦克风阵列, 广义旁瓣抵消, 相干滤波, 语音增强

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