International Conference on Speech and Computer

SPECOM 2015: Speech and Computer pp 364-371 | Cite as

SNR Estimation Based on Adaptive Signal Decomposition for Quality Evaluation of Speech Enhancement Algorithms

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9319)

Abstract

This paper presents a new method for estimating signal-to-noise ratio based on adaptive signal decomposition. Statistical simulation shows that the proposed method has lower variance and bias than the known signal-to-noise ratio measures. We discuss the parameters and characteristics of the proposed method and its practical implementation.

Keywords

Signal-to-noise ratio SNR Speech processing Speech enhancement 

Notes

Acknowledgements

This work was financially supported by the Ministry of Education and Science of the Russian Federation, contract 14.575.21.0033 (RFMEFI57514X0033), and by the Government of the Russian Federation, Grant 074-U01.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.ITMO UniversitySt. PetersburgRussia
  2. 2.Speech Technology CenterSt. PetersburgRussia

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