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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 ...
Robotic architecture design to map an action language to a low level motion commands for skillful manipulation
Diseño de una arquitectura robótica para mapear un lenguaje de acción a comandos de movimiento de bajo nivel para manipulación hábil
(2019)
This paper gives an overview of a robotic architecture meant for skillful manipulation. This
design is meant to close the gap between the high level layer (reasoning and planing layer) and the
object model system (physical ...
From the Air to the Ground: An Experimental Approach to Assess LiPo Batteries for a Second Life
(2022-05)
Many are the applications that use energy stored in lithium-ion (Li-ion) batteries to power themselves. Without a doubt this type of energy storage device has changed the way of living. However, a major concern regarding ...
Physical Integration of PV-Battery System: Advantages, Challenges, and Thermal Model
(2016-04-04)
We present a novel approach to physically integrate a PV module, dc/dc converter, dc/ac microinverter and a battery pack. The main advantages and challenges to realize this integration are presented. Since the thermal ...
New predictive PID controllers for packet dropouts in wireless networked control systems
(2017-11)
Four new predictive control algorithms are presented to compensate dropouts in wireless networked control systems. The control strategies are based on Model based predictive control (MBPC) with PID control structure. The ...
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 ...
A modeling methodology to evaluate the impact of temperature on Solar Home Systems for rural electrification
(2018)
Solar Home Systems (SHS) have recently gained prominence as the most promising solution for increasing energy access in remote, off-grid communities. However, the higher than standard testing conditions (STC) temperatures ...
Experimental study on transfer learning in denoising autoencoders for speech enhancement
(2020)
The quality of speech signals is affected by a combination of background noise, reverberation, and other distortions in real-life environments. The processing of such signals presents important challenges for tasks such ...
Robustness of LSTM neural networks for the enhancement of spectral parameters in noisy speech signals
(2019)
In this paper, we carry out a comparative performance analysis of Long Short-term Memory (LSTM) Neural Networks for the task of noise reduction. Recent work in this area has shown the advantages of this kind of network for ...
A comparison of bio-inspired optimization methodologies applied to the tuning of industrial controllers
(2016-11-09)
A comparison of different bio-inspired methods is presented for the problem of tuning the
parameters of a PID industrial controller for second order plus time delay plants. The compared algorithms are representative of ...