CONF pinto:IS:2008/IDIAP Combining Evidence from a Generative and a Discriminative Model in Phoneme Recognition Pinto, Joel Praveen Hermansky, Hynek EXTERNAL http://publications.idiap.ch/attachments/papers/2008/pinto-IS-2008.pdf PUBLIC http://publications.idiap.ch/index.php/publications/showcite/pinto:rr08-20 Related documents Proceedings of Interspeech 2008 IDIAP-RR 08-20 We investigate the use of the log-likelihood of the features obtained from a generative Gaussian mixture model, and the posterior probability of phonemes from a discriminative multilayered perceptron in multi-stream combination for recognition of phonemes. Multi-stream combination techniques, namely early integration and late integration are used to combine the evidence from these models. By using multi-stream combination, we obtain a phoneme recognition accuracy of 74\% on the standard TIMIT database, an absolute improvement of 2.5\% over the single best stream. REPORT pinto:rr08-20/IDIAP Combining Evidence from a Generative and a Discriminative Model in Phoneme Recognition Pinto, Joel Praveen Hermansky, Hynek EXTERNAL http://publications.idiap.ch/attachments/reports/2008/pinto-idiap-rr-08-20.pdf PUBLIC Idiap-RR-20-2008 2008 IDIAP Submitted for publication We investigate the use of the log-likelihood of the features obtained from a generative Gaussian mixture model, and the posterior probability of phonemes from a discriminative multilayered perceptron in multi-stream combination for recognition of phonemes. Multi-stream combination techniques, namely early integration and late integration are used to combine the evidence from these models. By using multi-stream combination, we obtain a phoneme recognition accuracy of 74\% on the standard TIMIT database, an absolute improvement of 2.5\% over the single best stream.