Journal article
Improved AdaBoost method to increase recognition rate of traditional lip-reading system based on HMM method
Journal of Harbin University of Commerce (Natural Sciences Edition), Vol.21(5), pp.604-607
10/01/2005
Abstract
For HMM models are usually applied of lip-reading systems presently, a lip-reading recognition method based on AdaBoost is proposed in this paper. This method solves the overlap problem of sample space, and improves the performance of recognition by strengthening training the samples that are difficult to be classified correctly. The method mentioned above, improves the change rate of the samples' weights in the iteration process, reduces the updating speed of samples' weights; and it can distinguish noisy samples, and reduces the weights of unreasonable weak classifiers, so that the improved algorithm suffers less influence of noisy data on strong classifier.
Details
- Title: Subtitle
- Improved AdaBoost method to increase recognition rate of traditional lip-reading system based on HMM method
- Creators
- Jia LuHong-Xun Yao
- Resource Type
- Journal article
- Publication Details
- Journal of Harbin University of Commerce (Natural Sciences Edition), Vol.21(5), pp.604-607
- ISSN
- 1672-0946
- Language
- Chinese
- Date published
- 10/01/2005
- Academic Unit
- Mechanical Engineering
- Record Identifier
- 9984201539402771
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