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| An Improved Noise Spectral Estimation Algorithm Based on the Weighted Minimum Statistics |
| Niu Tong; Zhang Lian-hai; Qu Dan |
| Dept. of Information Science, Zhengzhou Information Science and Technology Institute, Zhengzhou 450002, China |
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Abstract As the noise spectral estimation based on the minimum statistics introduces significant tracking latency when the noise spectral rises, an improved algorithm based on the weight minimum statistics is presented. Analyzing the influence of weight on the noise spectral estimation based on the minimum statistics, three kinds of typical simple curves are used to compute the weight, and the experiment shows that the weight computed by the cosine curve is the best. The simulation results show that the improved algorithm traces the change of noise spectral quickly in most cases, improves the accuracy of the noise spectral estimation and the quality of speech in the non-stationary noise environment.
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Received: 22 April 2008
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2009, Vol. 31 
