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Evaluation of denoising algorithms for footsteps sound classification in noisy environments
(2021)
Identifying a person using footsteps sounds is part
of the recent research in developing biometrics, systems designed
to identify an individual in a group using body measurements.
The sound of footsteps has a short ...
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 ...
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 ...
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 ...
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 ...
Improving automatic speech recognition containing additive noise using deep denoising autoencoders of lstm networks
(2016)
Automatic speech recognition systems (ASR) suffer from performance degradation under noisy conditions. Recent work, using deep neural networks to denoise spectral input features for robust ASR, have proved to be successful. ...
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 ...
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 ...
LSTM deep neural networks postfiltering for improving the quality of synthetic voices
(2016)
Recent developments in speech synthesis have produced systems capable of providing intelligible speech, and researchers now strive to create models that more accurately mimic human voices. One such development is the ...
Identification of Costa Rican speaker’s age group based on acoustic vowel analysis
(2022-04-22)
The identification of the speaker’s age is a fundamental task in human-computer interaction. In particular, the recognition of children has drawn attention from the research community due to the vulnerability of se persons ...