Statistical Models for Speech and Language Processing
A basic line of research that we have been following, is the
development and evaluation of novel statistical models for speech
and language processing. Research topics have included:
Currently, we are very interested in maximum entropy modelling,
feature selection algorithms and machine translation algorithms (for
- Latent variable models for dimensionality reduction and
missing data reconstruction, with applications to speech
- Support Vector Machines for enhanced discrimination in
speaker verification and recognition
A long term goal of this research is to develop models of speech
recognition that can be related to speech production.
- M. Carreira-Perpiñán and S. Renals.
Dimensionality reduction of electropalatographic data using
latent variable models.
Speech Communication, 26:259-282, 1998.