基于GSC结构的多通道语音补偿算法研究
发布时间:2018-12-31 16:44
【摘要】:广义旁瓣抵消器自适应波束形成算法对受固定干扰源影响的目标语音有良好的消噪效果,但在自适应抵消模块不可避免地存在语音泄漏,使目标语音受到一定损失,且残留部分背景噪声。文中先对传统的GSC结构自适应波束形成算法进行研究,分析语音泄漏的原因,并提出一种多通道语音补偿方法对GSC结构消噪后的语音进行补偿。对不同频段的噪声帧和语音帧做针对性处理,同时在对语音进行分割时保护共振峰,防止其发生偏移和变形,仿真实验与测试结果表明,该方法可以有效地补偿语音泄漏,消除残留噪声,提高语音可懂度。
[Abstract]:The generalized sidelobe canceller adaptive beamforming algorithm has good denoising effect on the target speech affected by the fixed interference source, but there is inevitably a speech leakage in the adaptive cancellation module, which makes the target speech suffer a certain loss. And residual part of the background noise. In this paper, the traditional adaptive beamforming algorithm of GSC structure is studied, and the cause of speech leakage is analyzed, and a multi-channel speech compensation method is proposed to compensate the speech of GSC structure after de-noising. The noise frame and speech frame of different frequency band are processed pertinently, and the resonance peak is protected when the speech is segmented to prevent the deviation and distortion. The simulation experiment and test results show that the method can compensate the speech leakage effectively. Eliminate residual noise and improve speech intelligibility.
【作者单位】: 南京邮电大学通信与信息工程学院;
【基金】:江苏省教育厅自然科学研究重大项目(13KJA510003) 江苏高校优势学科建设工程(PAPD)资助项目
【分类号】:TN912.3
本文编号:2396852
[Abstract]:The generalized sidelobe canceller adaptive beamforming algorithm has good denoising effect on the target speech affected by the fixed interference source, but there is inevitably a speech leakage in the adaptive cancellation module, which makes the target speech suffer a certain loss. And residual part of the background noise. In this paper, the traditional adaptive beamforming algorithm of GSC structure is studied, and the cause of speech leakage is analyzed, and a multi-channel speech compensation method is proposed to compensate the speech of GSC structure after de-noising. The noise frame and speech frame of different frequency band are processed pertinently, and the resonance peak is protected when the speech is segmented to prevent the deviation and distortion. The simulation experiment and test results show that the method can compensate the speech leakage effectively. Eliminate residual noise and improve speech intelligibility.
【作者单位】: 南京邮电大学通信与信息工程学院;
【基金】:江苏省教育厅自然科学研究重大项目(13KJA510003) 江苏高校优势学科建设工程(PAPD)资助项目
【分类号】:TN912.3
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