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建立在卡尔曼滤波基础上的语音增强方法

A speech enhancement method based on Kalman filtering

  • 摘要: 本文用动态系统的一种滤波方法──卡尔曼滤波对受附加噪声污染的语音信号进行增强处理的工作.所处理的附加噪声有宽带白噪声和有色噪声,且带噪语音信号是低估噪比的、无参考噪声源的.经增强处理后,语音信号的信噪比大约有7—10dB的提高.

     

    Abstract: In this paper,We present the enhancement of speech signals polluted by AddingNoise through a filtering method from the dynamic system Kalman Filtering. The AddingNoises to be processed are broadband white noice and color noice. The noise-contaminatedspeech signals are only accessible low signal-noise-ratio signals,without referencing to noisesource,after enhancement,the speech signal's SNR achieves an improvement of approximately 7-10 dB.

     

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