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Robust Noise Estimation applied to different speech estimators
Citation key 0800Schwab2003
Author Markus Schwab and Hyoung-Gook Kim and Wiryadi and Peter Noll
Title of Book Asilomar Conference on Signals, Systems, and Computers
Year 2003
Month nov
Abstract In this paper we present a robust noise estimation for peech enhancement algorithms. The robust noise estimation based on a modified minima controlled recursive averaging noise estimator was applied to different speech estimators. The investigated speech estimators were spectral substraction (SS), log spectral amplitude speech estimator (LSA) and optimally modified log spectral amplitude estimator (OM-LSA). The performance of the different algorithms were measured both by the signal-tonoise ratio (SNR) and recognition accuracy of an Automatic Speech Recognition (ASR).
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