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Fine-tuning enhanced probabilistic neural networks using metaheuristic-driven optimization
(2016-08-11)
Many approaches using neural networks have been studied in the past years. A number of architectures for different objectives are presented in the literature, including probabilistic neural networks (PNNs), which have shown ...
Spectral phase estimation based on deep neural networks for single channel speech enhancement
Majority of speech processing algorithms operate only with the spectral magnitude, leaving spectral phase unstructured and unexplored. With recent advancement in deep neural networks (DNNs), the phase processing became ...
Environment mapping for mobile robots navigation using hierarchical neural network and omnivision
(2008-11-24)
Autonomous robots must be able to learn and maintain models of their environments. In this context, the present work considers techniques for the classification and extraction of features from images in joined with artificial ...
Robustness of LSTM neural networks for the enhancement of spectral parameters in noisy speech signals
(2019)
In this paper, we carry out a comparative performance analysis of Long Short-term Memory (LSTM) Neural Networks for the task of noise reduction. Recent work in this area has shown the advantages of this kind of network for ...
Assessing the robustness of recurrent neural networks to enhance the spectrum of reverberated speech
(2020)
Implementing voice recognition systems and voice analysis in real-life contexts present important challenges, especially when signal recording/registering conditions are adverse. One of the conditions that produce signal ...
Semantically enhanced network analysis for influencer identification in online social networks
(Elsevier B.V., 2019)
Influencers in a social network are members that have greater effect in the online social network (OSN) than the average member. In the specific social networks known as communities of practice, where the focus is an ...
Computational enhancement of large scale environmental imagery: aggregation of robust numerical regularization, neural computing and digital dynamic filtering
(International Journal of Computational Science and Engineering (IJCSE), 2007)
Computational enhancement of large scale environmental imagery: aggregation of robust numerical regularization, neural computing and digital dynamic filtering
(International Journal of Computational Science and Engineering (IJCSE), 2007)
Enhancing speech recorded from a wearable sensor using a collection of autoencoders
(2020)
Assistive Technology (AT) is a concept which includes the use of technological devices to improve the learning process or the general capabilities of people with disabilities. One of the major tasks of the AT is the ...
Evaluation of Mixed Deep Neural Networks for Reverberant Speech Enhancement
(2020)
Speech signals are degraded in real-life environments, as a product of background noise or other factors. The processing of such signals for voice recognition and voice analysis systems presents important challenges. One ...