Results 271 to 280 of about 1,946,882 (294)
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2014
We propose a method for minimum mean-square error (MMSE) estimation of mel-frequency cepstral features for noise robust automatic speech recognition (ASR). The method is based on a minimum number of well-established statistical assumptions; no assumptions are made which are inconsistent with others. The strength of the proposed method is that it allows
Jensen, Jesper +1 more
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We propose a method for minimum mean-square error (MMSE) estimation of mel-frequency cepstral features for noise robust automatic speech recognition (ASR). The method is based on a minimum number of well-established statistical assumptions; no assumptions are made which are inconsistent with others. The strength of the proposed method is that it allows
Jensen, Jesper +1 more
openaire +2 more sources
MEAN SQUARED ERRORS OF DOANE AND MODIFIED DOANE METHODS FOR BIN SIZE ESTIMATION
Far East Journal of Applied Mathematics, 2021Rhegie M. Caga-anan +2 more
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Robust adaptive beamforming method of frequency diverse array based minimum mean square error
Second International Conference on Electronic Information Technology (EIT 2023), 2023Yunhui Zhang +3 more
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Minimum Mean Square Error Method on Observation Result of Phased Array Weather Radar
IEEJ Transactions on Fundamentals and Materials, 2014Kouichi Maruo +6 more
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Root mean square error or mean absolute error? Use their ratio as well
Information Sciences, 2022exaly
Imaging through inhomogeneous layer by a least mean square error fitting method
Ultrasonic Imaging, 1983openaire +1 more source
Mean-Square Convergence Analysis of ADALINE Training With Minimum Error Entropy Criterion
IEEE Transactions on Neural Networks, 2010Badong Chen
exaly
Quantized Kernel Least Mean Square Algorithm
IEEE Transactions on Neural Networks and Learning Systems, 2012Badong Chen, Songlin Zhao, Pingping Zhu
exaly