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Smart placement of a two-arm assembly for an everyday object manipulation humanoid robot based on capability maps
(2018)
A robot that will execute everyday object manip-
ulation tasks needs a competent body that can handle as many
different objects as possible in as many ways as possible. To
accomplish this, we must design the robot body ...
Assessing the robustness of recurrent neural networks to enhance the spectrum of reverberated speech
(2020)
Implementing voice recognition systems and voice analysis in real-life contexts present important challenges, especially when signal recording/registering conditions are adverse. One of the conditions that produce signal ...
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 ...
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 ...
Multi-objective optimal tuning of two degrees of freedom PID controllers using the ENNC method
(2016-10-13)
In this paper the Enhanced Normalized Normal Constrained method is applied to find the optimal tuning of second order PID controllers. This tuning takes into account both the servo and regulatory modes simultaneously, as ...
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 risk-based methodology for defining the time of intentional controlled islanding
(2015-10-05)
Power systems are operated close to their stability limits and this increases the probability of cascading outages
leading to large-area blackouts. To mitigate these phenomena, intentional controlled islanding (ICI) has ...
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, ...
Analysis of Atomic Manipulation Tasks in human- shared scenarios (a Kitchen and a Collaborative Workshop Table) for a Humanoid Robot
(2018)
In this paper we analyze the vocabulary of an
action description language to be used, together with a low level
object controller, by a humanoid robot in two specific scenarios:
a kitchen and a collaborative workshop ...