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.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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
Assessment of Nonlinearities for Precision DACs.
IEEE Trans. Instrum. Meas., 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
Sharing Human-Generated Observations by Integrating HMI and the Semantic Sensor Web.
Sensors, 2012

Using HMM to Detect Speakers with Severe Obstructive Sleep Apnoea Syndrome.
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 INTERSPEECH 2011, 2011

2010
Using SCXML for Semantic Sensor Networks.
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 INTERSPEECH 2009, 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


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