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.
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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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Aleinik, S., Stolbov, M. (2015). SNR Estimation Based on Adaptive Signal Decomposition for Quality Evaluation of Speech Enhancement Algorithms. In: Ronzhin, A., Potapova, R., Fakotakis, N. (eds) Speech and Computer. SPECOM 2015. Lecture Notes in Computer Science(), vol 9319. Springer, Cham. https://doi.org/10.1007/978-3-319-23132-7_45
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DOI: https://doi.org/10.1007/978-3-319-23132-7_45
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