Improved Noise Estimation Algorithm Based on Searching by Variable Window
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    Abstract:

    The MCRA minimum recursive algorithm is accurate for the noise estimation, and the changes of noise power spectrum in a speech can be tracked accurately. However, if the noise power spectrum increases too much suddenly, the original algorithm needs a period of time to get the accurate noise, and in this adaptive period, it will leave strong residual noise and affect people's hearing experience. This paper introduces a Voice Activity Detection (VAD) algorithm which uses the maximum log-likelihood ratio with energy-zero ratio, and an improved noise estimation algorithm on the basis of MCRA is obtained. Experimental simulation also proves that the improved algorithm is better than the original algorithm in noise estimation speed.

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胡岸,高勇.基于变窗长搜索的改进型噪声估计算法.计算机系统应用,2018,27(9):124-129

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History
  • Received:January 10,2018
  • Revised:January 31,2018
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  • Online: August 17,2018
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