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A Modified a Priori SNR Estimator Based on the United Speech Presence Probabilities |
Zheng Cheng-shi; Zhou Yin; Li Xiao-dong |
Institute of Acoustics, Chinese Academy of Sciences, Beijing 100080, China |
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Abstract The a priori Signal-to-Noise Ratio (SNR) is the dominant parameter in noise reduction techniques. This paper analyses several typical estimate approaches of the a priori SNR firstly, and then expresses them in the same form, finally presents an improved estimate of the a priori SNR, which is based on the united speech presence probabilities. Simulation results verify that the performance of the proposed estimator is better than those conventional estimators in terms of the segmental SNR and the log-spectral distance.
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Received: 05 December 2006
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