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Feature space transforms for Czech sign-language recognition
- Source :
- INTERSPEECH
- Publication Year :
- 2008
- Publisher :
- ISCA, 2008.
-
Abstract
- In this paper we describe a HMM-based sign language recognition (SLR) system for isolated signs. In the first part we describe the image parametrization method producing features used for recognition. Our goal was to find the best combination of a feature space dimension reduction method and an HMM structure.
- Subjects :
- Czech
Computer science
business.industry
Dimensionality reduction
Feature vector
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Structure (category theory)
Computer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)
Pattern recognition
Sign language
language.human_language
Image (mathematics)
ComputingMethodologies_PATTERNRECOGNITION
Computer Science::Sound
Computer Science::Computer Vision and Pattern Recognition
language
Artificial intelligence
business
Hidden Markov model
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Interspeech 2008
- Accession number :
- edsair.doi...........e85a86e1b0ad252ec56689f7e72addfa
- Full Text :
- https://doi.org/10.21437/interspeech.2008-529