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Integration of Open Source Tools for Studying Large-Scale Distribution Networks
(2017)
The penetration of Low Carbon Technologies (LCTs) is expected to increase in the
near future given the attractive incentives from governments, the cost-effectiveness of the technologies
and the appearance of Smart Grid ...
Reactive Power Limits in Distributed Generators from Generic Capability Curves
(2014-07-27)
This paper presents a generic trapezoid-type capability curve for any distributed generation technology. This curve is used to estimate the machine reactive power limits in terms of the actual active power and terminal ...
An Experimental Study on Speech Enhancement Based on a Combination of Wavelets and Deep Learning
(2022-06-20)
The purpose of speech enhancement is to improve the quality of speech signals degraded by noise, reverberation, or other artifacts that can affect the intelligibility, automatic recognition, or other attributes involved ...
Measuring the Quality of Low-Resourced Statistical Parametric Speech Synthesis Trained with Noise-Degraded Data Supported by the University of Costa Rica
(2022)
After the successful implementation of speech synthesis in several languages, the study of robustness became an important topic so as to increase the possibility of building voices from non-standard sources, e.g. historical ...
Estado del arte de la predicción de variables en sistemas de Ingeniería Eléctrica basada en inteligencia artificial
State of the art of predicting Electrical Engineering variables based on artificial intelligence
(2021-11)
Existe una gran cantidad de sistemas que se estudian y desarrollan en el campo de la Ingeniería Eléctrica en los que se realizan análisis que tienen como uno de sus fines principales la predicción de sus variables, tanto ...
LSTM deep neural networks postfiltering for enhancing synthetic voices
(2018)
Recent developments in speech synthesis have produced systems capable of producing speech which closely resembles natural speech, and researchers now strive to create models that more accurately mimic human voices. One ...
Speech synthesis based on Hidden Markov Models and deep learning
(2016)
Speech synthesis based on Hidden Markov Models (HMM)
and other statistical parametric techniques have been a hot topic for
some time. Using this techniques, speech synthesizers are able to produce
intelligible and ...
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 ...
A first approach to acoustic characterization of Costa Rican children’s speech
Un primer acercamiento a la caracterización acústica del habla de niños costarricenses
(2020-03-27)
As human interaction with computers becomes more pervasive, the value of developing automatic speech recognition, text-to-speech synthesis, and related speech technologies become more important for people of all ages, ...
Descubrimiento del estilo de aprendizaje dominante en estudiantes de Matemática superior
Discovering dominant learning styles in higher level Math students
(2020)
La presente investigación se desarrolló con el objetivo de descubrir cuáles son los estilos de aprendizaje dominantes en estudiantes de Matemática Superior de la carrera de Ingeniería Eléctrica en la Universidad de Costa ...