Combining Evidence from a Generative and a Discriminative Model in Phoneme Recognition
| Type of publication: | Conference paper |
| Citation: | pinto:IS:2008 |
| Booktitle: | Proceedings of Interspeech |
| Year: | 2008 |
| Note: | IDIAP-RR 08-20 |
| Crossref: | pinto:rr08-20: |
| Abstract: | 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. |
| Userfields: | ipdmembership={speech}, |
| Keywords: | |
| Projects |
Idiap |
| Authors | |
| Added by: | [UNK] |
| Total mark: | 0 |
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