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首页> 外文期刊>Digital Signal Processing >Hybrid probabilistic adaptation mode controller for generalized sidelobe cancellers applied to multi-microphone speech enhancement
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Hybrid probabilistic adaptation mode controller for generalized sidelobe cancellers applied to multi-microphone speech enhancement

机译:适用于多麦克风语音增强的广义旁瓣抵消器的混合概率自适应模式控制器

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摘要

In this paper, we propose a new adaptation mode controller (AMC) for a generalized sidelobe canceller(GSC)-based speech enhancement system. Here, a likelihood ratio for target speech presence was first estimated and then utilized to estimate both the local target speech presence probability (SPP) and global SPP. Next, the estimated SPPs were applied to the design of an AMC that controlled the parameters of adaptive filters for an adaptive blocking matrix (ABM) and noise canceller (NC). In particular, the combination of local and global SPPs was applied to the AMC in the ABM, whereas only global SPPs were used for the NC. Finally, a multiple-microphone speech enhancement system was constructed on the basis of a GSC having the proposed AMC. The performance of the speech enhancement system was subsequently evaluated in terms of the perceptual evaluation of speech quality (PESQ) and the cepstral distortion (CD) for car noise conditions. It was shown from this evaluation that a speech enhancement system using the proposed AMC method provided better performance than conventional AMC methods using power ratios between the target and non-target directional signals, the inter-channel normalized cross-correlation, and the local SPPs only.
机译:在本文中,我们为基于广义旁瓣抵消器(GSC)的语音增强系统提出了一种新的自适应模式控制器(AMC)。在此,首先估计目标语音存在的似然比,然后将其用于估计本地目标语音存在概率(SPP)和全局SPP。接下来,将估计的SPP应用于AMC的设计,该AMC控制用于自适应块矩阵(ABM)和噪声消除器(NC)的自适应滤波器的参数。特别是,将局部和全局SPP的组合应用于ABM中的AMC,而仅将全局SPP用于NC。最后,在具有所提出的AMC的GSC的基础上构造了多麦克风语音增强系统。随后,针对汽车噪声情况,根据语音质量的感知评估(PESQ)和倒谱失真(CD)评估了语音增强系统的性能。从该评估表明,与使用目标和非目标方向信号之间的功率比,通道间归一化互相关和仅局部SPP的功率比的传统AMC方法相比,使用建议的AMC方法的语音增强系统提供了更好的性能。 。

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