Results 51 to 60 of about 1,492,218 (202)
Identification of Fractional Models of an Induction Motor with Errors in Variables
Fractal and Fractional, 2023 The skin effect in modeling an induction motor can be described by fractional differential equations. The existing methods for identifying the parameters of an induction motor with a rotor skin effect suggest the presence of errors only in the output ...
Dmitriy Ivanov
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Noise compensation for speech recognition with arbitrary additive noise
IEEE Transactions on Audio, Speech and Language Processing, 2004 A new method for noise compensation for additive background noise based only on clean speech training data is described, assuming arbitrary noise characteristics. Experiments on Aurora 2 indicate that the new method has achieved a performance comparable to, or better than, the performance obtained by the baseline model trained on multi-condition data.
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The impact of internal noise on the performance of convolutional neural network [PDF]
Известия высших учебных заведений: Прикладная нелинейная динамикаPurpose. This study aims to establish the characteristics of noise propagation and accumulation in convolutional neural networks. The article investigates how the accuracy of a trained convolutional network varies depending on the type and intensity of ...
Semenova, Nadezhda Igorevna
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Научно-технический вестник информационных технологий, механики и оптикиThe results of the investigation and develop of the suppressing additive noise methods in fiber-optic interferometric sensors, in which optical scheme is based on a two-beam Michelson interferometer, are presented.
A. V. Volkov +2 more
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On additive channels with generalized Gaussian noise [PDF]
2017 IEEE International Symposium on Information Theory (ISIT), 2017 2017 IEEE International Symposium on Information Theory (ISIT)
Alex Dytso +3 more
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Noise adaptive training for subspace Gaussian mixture models [PDF]
, 2013 Noise adaptive training (NAT) is an effective approach to normalise environmental distortions when training a speech recogniser on noise-corrupted speech.
Renals, Steve, Ghoshal, Arnab, Lu, Liang
core
Nonlinear stochastic heat equations with cubic nonlinearities and additive Q-regular noise in R^1
Electronic Journal of Differential Equations, 2010 Semilinear stochastic heat equations perturbed by cubic-type nonlinearities and additive space-time noise with homogeneous boundary conditions are discussed in R^1.
Henri Schurz
doaj
Pitch-scaled estimation of simultaneous voiced and turbulence-noise components in speech
, 2001 Almost all speech contains simultaneous contributions from more than one acoustic source within the speaker's vocal tract. In this paper, we propose a method -- the pitch-scaled harmonic filter (PSHF) -- which aims to separate the voiced and turbulence ...
Shadle, Christine H. +1 more
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Locally linear embedding with additive noise
Pattern Recognition Letters, 2019 Abstract Locally linear embedding (LLE) is a nonlinear dimension reduction technique that only relies on the assumption of local linearity. While it is known to produce good results and is computationally efficient, it does not perform well when the observations are distorted by noises, as the fundamental assumption of local linearity becomes ...
Justin Wang +2 more
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Dynamical Sampling with Additive Random Noise [PDF]
Sampling Theory in Signal and Image Processing, 2018 Dynamical sampling deals with signals that evolve in time under the action of a linear operator. The purpose of the present paper is to analyze the performance of the basic dynamical sampling algorithms in the finite dimensional case and study the impact of additive noise.
Aldroubi, Akram +5 more
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