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Fusing length and voicing information, and HMM decision in speaker dependent isolated word recognition systems
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093336.pdf
Date
2000
Author
Karahan, Fahri
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URI
https://hdl.handle.net/11511/2675
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Graduate School of Natural and Applied Sciences, Thesis
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This paper presents the work done to improve the recognition rate lit an isolated word recognition problem with single utterance training. The negative effect of en ors (due to insufficient training data) in estimated model parameter is compensated by fusing the information obtained fi om HMM evaluation and those generated for the word length and voicing at the beginning and end of the word. A Bayesian Causal Tree structure is developed to accomplish the fusion. The final decision is made on one of the thre...
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F. Karahan, “Fusing length and voicing information, and HMM decision in speaker dependent isolated word recognition systems,” Middle East Technical University, 2000.