145 search results - page 6 / 29 » Factor analysed hidden Markov models for speech recognition |
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
This paper presents a novel extension of Hidden Markov Models (HMMs): type-2 fuzzy HMMs (type-2 FHMMs). The advantage of this extension is that it can handle both randomness and f...
107
click to vote
ICASSP
2011
IEEE
14 years 1 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...
123
click to vote
FLAIRS
2008
15 years 1 days ago
2008
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
IJCNN
2000
IEEE
15 years 1 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
14 years 11 months 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...