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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 ...
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 ...
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 ...
An experimental study on fundamental frequency detection in reverberated speech with pre-trained recurrent neural networks
(2020)
The detection of the fundamental frequency (f0) in speech signals is relevant in areas such as automatic speech recognition and identification, with multiple potential applications. For example, in virtual assistants, ...
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 ...
Hidden Markov Models for artificial voice production and accent modification
(2016)
In this paper, we consider the problem of accent modification between Castilian Spanish and Mexican Spanish. This is an interesting application area for tasks such as the automatic dubbing of pictures and videos with ...
Primeras experiencias de colaboración docente entre las carreras de Ingeniería Eléctrica y Educación Especial de la Universidad de Costa Rica, en torno a proyectos de acción social a favor de la población en condición de discapacidad
Opportunities for collaboration between Electrical Engineering and Special Education majors at the University of Costa Rica: Social outreach projects to benefit disabled population groups
(2021-10)
En el presente artículo se exponen y contextualizan las experiencias de vinculación docente entre las carreras de Educación Especial e Ingeniería Eléctrica en la Universidad de Costa Rica durante el periodo de 2018 a 2020, ...
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, ...