Parameter optimization of late reverberation suppression algorithm

Main Article Content

O. Ladoshko
Arkadii Mykolaiovych Prodeus

Abstract

Boundary values between early reflections and late reverberation, optimal in sense of such criteria as speech recognition accuracy and speech quality, had been found. When optimal boundary value is chosen, usage of logMMSE method for late reverberation suppression makes it possible to increase recognition accuracy from 22 ... 30% to 56…74% and speech quality index PESQ from 2.281 to 2.33.

Reference 6, figures 4.

Article Details

How to Cite
Ladoshko, O., & Prodeus, A. M. (2015). Parameter optimization of late reverberation suppression algorithm. Electronics and Communications, 19(5), 43–47. https://doi.org/10.20535/2312-1807.2014.19.5.38800
Section
Theory of signals and systems

References

Naylor P., Gaubitch N. (2010), “Speech Der-everberation”. Springer.

Habets E.A.P. (2007), “Single- and Multi-Microphone Speech Dereverberation using Spectral Enhancement”. Ph.D Thesis. Eindho-ven.

Ephraim Y., Malah D. (1985), “Speech En-hancement Using a Minimum Mean-Square Er-ror Log-Spectral Amplitude Estimator”. IEEE Transactions on Acoustic, Speech, and Signal Processing. Vol. ASSP-33. No. 2. Pp. 443-445.

Loizou P. (2007), “Speech enhancement: The-ory and Practice”. Boca Raton: CRC Press.

Young S. (2005), “The HTK Book”. Cambridge University Engineering Department. [Online]. Available: http://htk.eng.cam.ac.uk/download.shtml

Brooks M. (2010), “VOICEBOX: Speech Proc-essing Toolbox for MATLAB”. [Online]. Avail-able:

http://www.ee.ic.ac.uk/hp/staff/dmb/