ISSN: 2375-2998
International Journal of Electrical and Electronic Science  
Manuscript Information
Reducing Sensitivity of Segmental Signal-to-Noise Ratio Estimator to Time-Alignment Error
International Journal of Electrical and Electronic Science
Vol.2 , No. 2, Publication Date: Aug. 20, 2015, Page: 31-36
1491 Views Since August 20, 2015, 1312 Downloads Since Aug. 20, 2015

Arkadiy Prodeus, Acoustic and Electroacoustic Department, Faculty of Electronics, National Technical University of Ukraine “Kyiv Polytechnic Institute”, Kyiv, Ukraine.


In this paper, quantitative assessment of influence of the time-alignment error on segmental signal-to-noise ratio (SSNR) estimation is made.It is shown that an effective way to reduce sensitivity of SSNR estimator to time-alignment error is to increase the sample rate of the compared signals in 2...4 times by means of their interpolation. It was founded also that when distorted signal is a result of adjusting FIR filtering, the filter order must be odd for minimizing the SSNR estimation error.


Segmental Signal-to-Noise Ratio, Estimator Stability, Estimation Error, Time-Alignment Error, Sampling Rate


J. Benesty, M. Sondhi, Y. Huang (Ed.), Springer Handbook of Speech Processing.BerlinHeidelberg: Springer-Verlag, 2008.


S. Quackenbush, T. Barnwell, and M. Clements, Objective Measures of Speech Quality, Englewood Cliffs, NJ: Prentice-Hall, 1988.


P. Mermelstein,“Evaluation of segmental SNR measure as an indicator of the quality of ADPCM coded speech,” J. Acoust. Soc. Am., Vol. 66(6), pp.1664–1667, 1979.


J.H. Hansen and B.L. Pellom, “An Effective Quality Evaluation Protocol for Speech Enhancement Algorithms,” In Proc. 5th Int. Conf. on Spoken Language Processing (ICSLP), Vol. 7, pp. 2819–2822, AUS–Sydney, 1998.


Y. Hu and P. Loizou, “Evaluation of objective quality measures for speech enhancement,” IEEE Transactions on Speech and Audio Processing, 16(1), pp. 229-238, 2008.


N. Cote, Integral and diagnostic intrusive prediction of speech, Springer-Verlag Berlin Heidelberg, 2011.


N. Bogdanova, A. Prodeus. Objective quality evaluation of speech band-limited signals. Electronics and Communications, Vol.19, No.6(83), pp.58-65, 2014. [Online]. Available:


A. Prodeus, “Assessment of speech enhancing algorithms quality,” Proc. of V International Scientific Conference "Signal and non-Gaussian noise processing", Cherkasy State Technological University, May 20–22, 2015, Cherkasy, Ukraine (in Ukrainian).


P. Naylor, N. Gaubitch, Speech Dereverberation, Springer, 2010.


A. Prodeus, “Parameter Optimization of the Single Channel Late Reverberation Suppression Technique,” Proc. of IEEE 35th International Scientific Conference on Electronics and Nanotechnology (ELNANO-2015), pp.269-274, 21-24 April 2015, Kyiv, Ukraine.

  Join Us
  Join as Reviewer
  Join Editorial Board