Maximum a Posterior Probability and Cumulative Distribution Function Equalization Methods for Speech Spectral Estimation with Application in Noise Suppression Filtering
نویسندگان
چکیده
The COST-277 speech database p. 100 Children's organization of discourse structure through pausing means p. 108 F0 and intensity distributions of Marsec speakers : types of speaker prosody p. 116 A two-level drive response model of non-stationary speech signals p. 125 Advanced methods for glottal wave extraction p. 139 Cepstrum-based estimation of the harmonics-to-noise ratio for synthesized and human voice signals p. 150
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The MAP and cumulative distribution function equalization methods for the speech spectral estimation with application in noise suppression filtering
In this work we develop two statistical estimation methods of maximum a posterior probability (MAP) and cumulative distribution function equalization (CDFE) for the speech spectral component estimation approaches with the application in the noise suppression filters. In contrast to the histogram equalization approach, the CDFE is developed here based on speech and noise spectral modeling, which...
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