Referenced Items are not available for this document.
We propose a parallel-branch subunit model in semicontinuous HMM for improved initialization and training in word recognition. We obtain the model by adding a new subunit branch based on misrecognized data in training to the previous parallel branches for that subunit. Simulation results show that this proposed model is efficient and gives good recognition performance in word recognition.
Published in:
Signal Processing Letters, IEEE
(Volume:3
,
Issue:
3
)
Date of Publication: March 1996
- Page(s):
- 66 - 68
- ISSN :
- 1070-9908
- INSPEC Accession Number:
- 5233148
- Digital Object Identifier :
- 10.1109/97.481157
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- March 1996
- Sponsored by :
- IEEE Signal Processing Society
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