José A. González-López
Scholar

José A. González-López

Google Scholar ID: eiqcNHEAAAAJ
Associate Professor, University of Granada
Speech technologySilent speech interfacesSpeech biometricsBrain-Computer interfaces
Citations & Impact
All-time
Citations
1,247
 
H-index
16
 
i10-index
21
 
Publications
20
 
Co-authors
11
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Silent Speech Interfaces for Speech Restoration: A Review, IEEE Access, 2020
  • A Gated Recurrent Convolutional Neural Network for Robust Spoofing Detection, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2019
  • A Deep Learning Loss Function Based on the Perceptual Evaluation of the Speech Quality, IEEE Signal Processing Letters, 2018
  • Robust Binaural Localization of a Target Sound Source by Combining Spectral Source Models and Deep Neural Networks, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2018
  • Direct Speech Reconstruction From Articulatory Sensor Data by Machine Learning, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2017
  • Special Issue on Applications of Speech and Language Technologies in Healthcare, Applied Sciences, 2023
  • ReSSInt project: voice restoration using Silent Speech Interfaces, IberSPEECH 2022, 2022
Research Experience
  • Associate professor, University of Granada, December 2021 – Present
  • Juan de la Cierva - Incorporacion fellow, University of Granada, May 2019 – December 2021
  • Assistant professor, University of Malaga, October 2017 – May 2019
  • Research associate, University of Sheffield, June 2013 – October 2017
  • Postdoctoral researcher, University of Granada, March 2013 – May 2013
  • PhD candidate, University of Granada, August 2008 – February 2013
  • Research assistant, University of Granada, November 2006 – July 2008
Background
  • Associate Professor in the Department of Signal Theory, Telematics and Communications, University of Granada, Spain. Current research focuses on clinical applications of speech technology, brain-computer interfaces, and speech biometrics.