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An Improved Spectral Subtraction Algorithm for Speech Enhancement System

机译:一种改进的语音增强系统光谱减法算法

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In this paper, we present an application of spectral subtraction (SS) algorithm in speech enhancement system to extract the pure speech signal as far as possible. In contrast to the existing research, the proposed algorithm improves the voice quality, which reduces speech distortion, eliminates background noise and improves the speech intelligibility. This paper first introduces the research significance of the speech enhancement, then introduces the relevant theories of speech signal processing, and expounds the basic spectral subtraction speech enhancement, through a lot of simulation experiments verify the effect of spectral subtraction. Based on the voice activation detection algorithm is studied and an improved spectrum subtraction (ISS) algorithm was presented. Our simulation results show that the proposed ISS Algorithm is effective with the lower computational complexity in speech enhancement system.
机译:在本文中,我们在语音增强系统中展示了频谱减法(SS)算法在尽可能地提取纯语音信号。与现有的研究相比,所提出的算法改善了语音质量,这减少了语音失真,消除了背景噪声并提高了语音可懂度。本文首先介绍了语音增强的研究意义,然后介绍了语音信号处理的相关理论,并阐述了基本光谱减法语音增强,通过许多模拟实验验证了光谱减法的效果。基于语音激活检测算法研究,并提出了一种改进的频谱减法(ISS)算法。我们的仿真结果表明,所提出的ISS算法在语音增强系统中的计算复杂性较低。

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