José Luis Blanco Murillo
Orcid: 0000-0003-1659-0140
According to our database1,
José Luis Blanco Murillo
authored at least 17 papers
between 2009 and 2018.
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Bibliography
2018
A method for informed selection of memory-length and nonlinearity-order parameters in Volterra-Wiener systems from exponential sweep excitations.
Multidimens. Syst. Signal Process., 2018
2017
2015
Compensation of biased excitation effects for MLS-based nonlinear systems' identification.
Signal Process., 2015
2014
Analysis of voice features related to obstructive sleep apnoea and their application in diagnosis support.
Comput. Speech Lang., 2014
2013
Improving Automatic Detection of Obstructive Sleep Apnea Through Nonlinear Analysis of Sustained Speech.
Cogn. Comput., 2013
GMM-based Classifiers for the Automatic Detection of Obstructive Sleep Apnea.
Proceedings of the BIOSIGNALS 2013, 2013
2012
Sensors, 2012
Proceedings of the Advances in Speech and Language Technologies for Iberian Languages, 2012
2011
Introducing Non-linear Analysis into Sustained Speech Characterization to Improve Sleep Apnea Detection.
Proceedings of the Advances in Nonlinear Speech Processing, 2011
Analyzing Training Dependencies and Posterior Fusion in Discriminant Classification of Apnea Patients Based on Sustained and Connected Speech.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011
2010
Proceedings of the 3rd International Workshop on Semantic Sensor Networks, 2010
Using SCXML to Integrate Semantic Sensor Information into Context-aware User Interfaces.
Proceedings of the SSW 2010, 2010
Improving speech interaction in vehicles using context-aware information through an SCXML framework.
Proceedings of the Electronic Speech Signal Processing, 2010
2009
Assessment of Severe Apnoea through Voice Analysis, Automatic Speech, and Speaker Recognition Techniques.
EURASIP J. Adv. Signal Process., 2009
Analyzing GMMs to characterize resonance anomalies in speakers suffering from apnoea.
Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009
Early Detection of Severe Apnoea through Voice Analysis and Automatic Speaker Recognition Techniques.
Proceedings of the Biomedical Engineering Systems and Technologies, 2009
Severe Apnoea Detection using Speaker Recognition Techniques.
Proceedings of the BIOSIGNALS 2009, 2009