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Reinforced spectral subtraction method to enhance speech signal

机译:增强光谱减法方法,增强语音信号

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In this paper, we propose a speech enhancement technique. It is based on spectral subtraction method, which is one of the major techniques of speech enhancement. However, the enhanced output speech signal of the spectral subtraction method is corrupted by "musical noise". The musical noise is an offensive noise for human listening. To reduce the musical noise, we adopt an iterative algorithm. The iterative algorithm is derived from the same idea as Wiener filtering for speech enhancement. We use the output signal of the spectral subtraction method as the input signal again. This process is iterated a few times. At every time when we iterate the spectralsubtraction method, we estimate the noise signal, in order to obtain a peculiarity of musical noise sad subtract it Therefore we can reduce more musical noise for iterations.
机译:在本文中,我们提出了一种语音增强技术。它基于光谱减法方法,是语音增强的主要技术之一。然而,光谱减法方法的增强输出语音信号被“音乐噪声”损坏。音乐噪音是人类收听的令人反感的噪音。为了减少音乐噪声,我们采用迭代算法。迭代算法从与语音增强的维纳滤波相同的想法。我们使用光谱减法方法的输出信号再次作为输入信号。此过程迭代几次。在我们每次迭代Spectralsubtraction方法时,我们估计噪声信号,以便获得音乐噪声悲伤减去的特殊性,因此我们可以减少更多的音乐噪音以获得迭代。

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