153 search results - page 7 / 31 » Bayesian sensing hidden Markov models for speech recognition |
114
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ICASSP
2011
IEEE
14 years 2 months ago
2011
IEEE
The method which is called the “tandem approach” in speech recognition has been shown to increase performance by using classifier posterior probabilities as observations in a...
113
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IDA
2006
Springer
14 years 11 months ago
2006
Springer
We introduce in this paper a generalization of the widely used hidden Markov models (HMM's), which we name "structural hidden Markov models" (SHMM). Our approach is ...
103
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IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
IPCV
2008
15 years 15 days ago
2008
- Automatic recognition of spoken digits is one of the difficult tasks in the field of computer speech recognition. Spoken digits recognition process is required in many applicatio...
77
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ICASSP
2009
IEEE
15 years 5 months ago
2009
IEEE
Semi-continuous acoustic models, where the output distributions for all Hidden Markov Model states share a common codebook of Gaussian density functions, are a well-known and prov...