Subspace distribution clustering hidden Markov model.
Most contemporary laboratory recognizers require too much memory to run, and are too slow for mass applications. One major cause of the problem is the large parameter space of their acoustic models. In this paper, we propose a new acoustic modeling methodology which we call subspace distribution clu...
| Publié dans: | IEEE Transactions on speech and audio processing 9, 3 (2001). |
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| Auteur principal: | |
| Format: | Article |
| Langue: | anglais |
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