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

  • Sergei Aleinik
  • Mikhail Stolbov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9319)


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.


Signal-to-noise ratio SNR Speech processing Speech enhancement 



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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