Buscar
Mostrando ítems 1-10 de 54
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 ...
Torque sensor geometry study on 3D simulated conditions for a Hollow robotic joint
(2019)
El sensor de torque es el componente que le brinda a una articulación robótica la
capacidad de ser amigable con su entorno, ya que posibilita a un brazo robótico a tomar acciones al
captar disturbios externos mientras ...
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 ...
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 ...
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 ...
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 ...
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, ...
Mujer en la Ingeniería: iniciativas y experiencias para disminuir la brecha de género en ingeniería
(2022-06)
La brecha de género en las carreras de la Facultad de Ingeniería (FI) de la Universidad de Costa Rica (UCR), así como situaciones académicas y profesionales de desigualdad para las mujeres motivan el trabajo del proyecto ...
Optimal immune PI tuning rules for networked control systems with long time delays
(2021-11)
This work presents a novel method for Networked Control Systems (NCS) with long time delays based on proportional-integral (PI) control with an immune feedback algorithm. Moreover, a simple set of tuning rules is presented ...
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 ...