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HMM-Based Speech Synthesis Enhancement with Hybrid Postfilters
(2018)
In this chapter, we introduce hybrid postfilters into speech synthesis,
with the objective of enhancing the quality of the synthesized speech.
Our approach combines a Wiener filter with deep neural networks. Several ...
Análisis bibliométrico de los proyectos de graduación de Ingeniería Eléctrica de la Universidad de Costa Rica 1999-2018
Bibliometric analysis of the graduation projects in Electrical Engineering of the University of Costa Rica 1999-2018
(2020-01-01)
El objetivo de esta investigación fue realizar un análisis bibliométrico de los proyectos de graduación de pregrado en la Escuela de Ingeniería Eléctrica de la Universidad de Costa Rica, entre los años 1999 y 2018. El ...
Metodología para la construcción de voces artificiales para la educación inclusiva
Methodology for the generation of artificial voices of children for inclusive education
(2021)
La integración de voces artificiales en dispositivos tecnológicos es una opción para favorecer la comunicación en personas con discapacidad, ya que permite mayores herramientas para la inclusión de esta población, haciendo ...
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 ...
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 ...
A Comparative Study on Denoising Algorithms for Footsteps Sounds as Biometric in Noisy Environments
(2022-08-03)
Biometrics is the automated identification of a person based on distinctive characteristics, such as fingerprints, face, voice, or the sound of footsteps. This last characteristic has significant challenges considering the ...
Consideraciones para la incorporación de la inteligencia artificial en un programa de pregrado de Ingeniería Eléctrica
Considerations for introducing artificial intelligence in an Electrical Engineering undergraduate program
(2021-05)
Con la rápida proliferación de técnicas y aplicaciones, la inteligencia artificial ha adquirido gran relevancia en diversos campos de la sociedad, lo cual incluye nuevas formas de resolver problemas relacionados con sistemas ...
Integración de actividades de investigación y acción social en la docencia de Ingeniería Eléctrica
Integrating research and social action activities in the teaching of Electrical Engineering
(2021-07-23)
El objetivo del presente artículo es mostrar los resultados de una experiencia docente desarrollada en la Escuela de Ingeniería Eléctrica de la Universidad de Costa Rica, diseñada para integrar la investigación y la acción ...
A performance evaluation of several artificial neural networks for mapping speech spectrum parameters
(2020)
In this work, we compare different neural network architectures, for the task of mapping spectral coefficients of noisy speech signals with those corresponding to natural speech. In previous works on the subject, fully-connected ...