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- W2364398849 abstract "in this article, a new method to train Tied Subspace Distribution HMM (TSDHMM) is described. This approach is used to divide the acoustical observation vector space, tie subspace Gaussian distribution and get subspace Gaussian prototypes, which can re-duce the number of parameters of a HMM. Evaluation on the task shows that a TSDHMM system achieves not only smaller memory requirement for acoustic models but also faster recognition without any loss of recognition accuracy." @default.
- W2364398849 created "2016-06-24" @default.
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- W2364398849 date "2006-01-01" @default.
- W2364398849 modified "2023-09-23" @default.
- W2364398849 title "A Method To Train Tied Subspace Distribution HMM" @default.
- W2364398849 hasPublicationYear "2006" @default.
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