ListarIngeniería eléctrica por tema "NOISE"
Mostrando ítems 1-4 de 4
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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 ... -
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 ... -
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 ... -
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 ...