I am a Postdoctoral Research Associate in the SpandH group of the University of Sheffield working in the DiSArM project (Digital Speech Recovery from Articulator Movement). In DiSArM we try to restore the ability to speak to people who have lost their voice due to larynx cancer.
- Clinical applications of speech technology.
- Automatic speech recognition.
- Machine learning.
- Speech processing.
- Gonzalez, J.A.; Gomez, A.M.; Peinado, A.M.; Ma, N.; and Barker, J.P., “Spectral reconstruction and noise model estimation based on a masking model for noise-robust speech recognition,” Accepted at Circuits, Systems, and Signal Processing (PDF).
- Gonzalez, J.A.; Cheah, L.; Bai, J.; Ell, S.; Gilbert, J.M.; Green, P.; and Moore, R.K., “A silent speech system based on permanent magnet articulography and direct synthesis,” Computer Speech and Language, 39:67-87, September 2016 (PDF).
- Gonzalez, J.A.; Cheah, L.; Bai, J.; Ell, S.; Gilbert, J.M.; Green, P.; and Moore, R.K., “Direct speech generation for a silent speech interface based on permanent magnet articulography,” Proc. BioSignals 2016, Rome, Italy (PDF).
- Gonzalez, J.A.; Green, P.D.; Moore, R.K.; Cheah, L.A.; Gilbert, J.M., “A non-parametric articulatory-to-acoustic conversion system for silent speech using shared Gaussian process dynamical models”, UK Speech 2015, Norwich, UK, July 2015 (abstract,poster).
- Gonzalez, J.A.; Cheah, L.; Bai, J.; Ell, S.; Gilbert, J.; Moore, R.K.; and Green, P., “Analysis of phonetic similarity in a silent speech interface based on permanent magnetic articulography,” Proc. Interspeech 2014, Singapore (PDF).
- Gonzalez, J.A., “Noise robust speech recognition with missing or uncertain data (in Spanish),” Ph.D. thesis, University of Granada, Spain, 2013 (PDF).
- Full list.