Ingeniería eléctrica
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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 ... -
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 ... -
Impacto fiscal de la descarbonización del transporte en Costa Rica y opciones de política para manejarlo
(2021-07)El Plan de Descarbonización de Costa Rica promueve el transporte público como principal opción de movilidad y fomenta la electrificación de la flota vehicular, lo cual habilitará múltiples beneficios socioeconómicos. Sin ... -
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 ... -
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 ... -
2D SLAM Algorithms Characterization, Calibration, and Comparison Considering Pose Error, Map Accuracy, CPU Usage, and Memory Usage
(2022)The present work proposes a method to characterize, calibrate, and compare, any 2D SLAM algorithm, providing strong statistical evidence, based on descriptive and inferential statistics to bring confidence levels about ... -
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 ... -
Ejemplo de generación y clasificación de bases de datos de imágenes simples
(2015)Se documenta la creación de una base de datos para clasificación, que consiste de patrones de imágenes simples. Se presentan resultados de una clasificación de estas imágenes utilizando redes neuronales tipo perceptrón ... -
Minería de Datos: Concepto y Aplicaciones
(2014)Se presenta la minería de datos como un conjunto de técnicas para obtener información útil y no evidente en datos de diversos tipos. Primero se revisa el concepto y su evolución, para repasar varias de las aplicaciones ... -
Inteligencia Artificial en la Creación Musical
(2013)Se presenta el desarrollo de las técnicas de inteligencia artificial en procesos de creación musical, tanto para el apoyo de creación de obras a los compositores, como en proyectos que pretenden automatizar todo el proceso. ... -
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 ... -
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 ... -
Auto-Associative Initialization of LSTM Neural Networks for Fundamental Frequency Detection in Noisy Speech Signals
(2018)In this paper, we present a new approach for fundamental frequency detection in noisy speech, based on Long Short-term Memory Neural Networks (LSTM). Fundamental frequency is one of the most important parameters of human ... -
Desarrollo de Tecnologías del Habla en Costa Rica
(2020)Las tecnologías del habla son un conjunto de conocimientos, técnicas y recursos empleados para propiciar la interacción de las personas con dispositivos electrónicos, o bien entre personas con mediación de un dispositivo. ... -
Metodología para la construcción de voces artificiales para la educación inclusiva
(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 ... -
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 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. ... -
Hybrid speech enhancement with wiener filters and deep LSTM denoising autoencoders
(2018)Over the past several decades, numerous speech enhancement techniques have been proposed to improve the performance of modern communication devices in noisy environments. Among them, there is a large range of classical ... -
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 ... -
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 ...
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