ListarIngeniería eléctrica por tema "Machine learning"
Mostrando ítems 1-3 de 3
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Improving post-filtering of artificial speech using pre-trained LSTM neural networks
(2019)Several researchers have contemplated deep learning-based post-filters to increase the quality of statistical parametric speech synthesis, which perform a mapping of the synthetic speech to the natural speech, considering ... -
Learning the prediction error for improving an analytical-based prediction (object-model) system for manipulation tasks
(2018)One of the main tasks in robotics today, is to bring robots closer to humans in everyday situations. This requires the robot to understand how its environment (objects, people, conditions) behaves. One method that tries ... -
Pre-training Long Short-term Memory neural networks for efficient regression in artificial speech postfiltering
(2018)Several attempts to enhance statistical parametric speech synthesis have contemplated deep-learning-based postfilters, which learn to perform a mapping of the synthetic speech parameters to the natural ones, reducing the ...