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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 ...
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 ...
Coordination of DERs and Flexible Loads to Support Transmission Voltages in Emergency Conditions
(2022)
The large-scale integration of renewable generation and the gradual decommissioning of conventional power plants has led to decreased availability of resources for providing services and support to the bulk transmission ...
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, ...
Análisis acústico de vocales de niños costarricenses
Acoustic vowel analysis of Costa Rican children
(2020-06-23)
En este artículo se presenta un análisis acústico de vocales pronunciadas por niños costarricenses con edades entre los 6 y los 12 años. Estos análisis tienen como objetivo lograr una mejor comprensión de las características ...
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 ...
Discriminative multi-stream postfilters based on deep learning for enhancing statistical parametric speech synthesis
(2021)
Statistical parametric speech synthesis based on Hidden Markov Models has been an
important technique for the production of artificial voices, due to its ability to produce results with high intelligibility and sophisticated ...
Reconstructing fundamental frequency from noisy speech using initialized autoencoders
(2020-10)
In this paper, we present a new approach for fundamental frequency (f0) detection in noisy speech, based on Long Short-term Memory Neural Networks (LSTM). f0 is one of the most important parameters of human speech. Its ...
Producción artificial de habla: Síntesis de voz
(2015)
A finales de la década de los 80, el estadounidense Raymond Kurzweil, inventor del primer sistema comercial que es capaz de tomar texto de un libro y pronunciarlo mediante habla artificial, escribió la obra “La era de las ...
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 ...