Speech enhancement based on a priori signal to noise estimation
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
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Kalman filtering is a powerful technique for the estimation of the speech signal observed in additive background noise. This paper presents a contribution in the enhancement of noisy speech with white and colored noise assumption. Some tests were performed with ideal filter parameters, others using the Expectation Maximization (EM) algorithm to iteratively estimate the spectral parameters of the speech and noise. Simulation results show that the application has the best performance evaluated with objective quality scores, observation of the waveforms, as well as informal listening tests in the case of Noizeus database.