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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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We propose a speech enhancement technique. It is based on the 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. Each time we iterate the spectral subtraction method, we estimate the noise signal and subtract it. Therefore we can further reduce the musical noise with each iteration.
机译: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。每次遍历光谱减法方法时,我们都会估计噪声信号并减去它。因此,我们可以通过每次迭代进一步降低音乐噪声。

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