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System architecture and deployment scenarios for SESAME: Small cEllS coordinAtion for Multi-tenancy and Edge services
(2016-05-17)
The surge of the Internet traffic with exabytes of data flowing over operators mobile networks has created the need to rethink the paradigms behind the design of the mobile network architecture. The inadequacy of the 4G ...
Building synthetic simulated environments for configuring and training multi-camera systems for surveillance applications
(SciTePress, Science and Technology Publications, Lda, 2021)
[EN] Synthetic simulated environments are gaining popularity in the Deep Learning Era, as they can alleviate the
effort and cost of two critical tasks to build multi-camera systems for surveillance applications: setting ...
Optimally refined isogeometric analysis
(Elsevier, 2017)
Performance of direct solvers strongly depends upon the employed discretization method. In particular, it is possible to improve the performance of solving Isogeometric Analysis (IGA) discretizations by introducing multiple ...
Listening to Laryngectomees: A study of Intelligibility and Self-reportedListening Effort of Spanish Oesophageal Speech
(International Speech Communication Association, 2018-11-23)
Oesophageal speakers face a multitude of challenges, such asdifficulty in basic everyday communication and inability to in-teract with digital voice assistants. We aim to quantify the diffi-culty involved in understanding ...
Transfer learning in hierarchical dialogue topic classification with neural networks
(IEEE, 2020-09-28)
Knowledge transfer between tasks can significantly improve the efficiency of machine learning algorithms. In supervised natural language understanding problems, this sort of improvement is critical since the availability ...
LSTM based voice conversion for laryngectomees
(International Speech Communication Association, 2018-11-23)
This paper describes a voice conversion system designed withthe aim of improving the intelligibility and pleasantness of oe-sophageal voices. Two different systems have been built, oneto transform the spectral magnitude ...
Regularized Neural User Model for Goal-Oriented Spoken Dialogue Systems
(Springer, 2018-08-02)
User simulation is widely used to generate artificial dialogues in order to train statistical spoken dialogue systems and perform evaluations. This paper presents a neural network approach for user modeling that exploits ...
Tracking the Expression of Annoyance in Call Centers
(Springer, 2018-08-26)
Machine learning researchers have dealt with the identification of emo- tional cues from speech since it is research domain showing a large number of po- tential applications. Many acoustic parameters have been analyzed ...
Adding dimensional features for emotion recognition on speech
(IEEE, 2020-10-20)
Developing accurate emotion recognition systems requires extracting suitable features of these emotions. In this paper, we propose an original approach of parameters extraction based on the strong, theoretical and empirical, ...
Contrasting the Emotions identified in Spanish TV debates and in Human-Machine Interactions
(ISCA, 2020-03-24)
This work is aimed to contrast the similarities and differences for the emotions identified in two very different scenarios: human-to-human interaction on Spanish TV debates and human-machine interaction with a virtual ...