Feature Extraction Approach Based on Fractal Dimension for Spontaneous Speech Modelling Oriented to Alzheimer Disease Diagnosis.
Karmele López de IpiñaHarkaitz EgiraunJordi Solé-CasalsMiriam EcayAitzol EzeizaNora BarrosoPablo Martinez-LageUnai Martinez-de-LizarduiPublished in: NOLISP (2013)
Keyphrases
- fractal dimension
- disease diagnosis
- spontaneous speech
- texture analysis
- feature extraction
- human machine interaction
- fractal analysis
- spoken language
- box counting
- early diagnosis
- automatic speech recognition
- texture classification
- fractal dimensions
- comparative analysis
- texture features
- image processing
- spoken document retrieval
- feature vectors
- gray level
- gabor filters
- preprocessing
- face recognition
- pattern recognition
- extracted features
- computer aided diagnosis
- image classification
- multiresolution
- co occurrence
- image analysis
- linguistic features
- classification accuracy
- natural language processing
- training data
- computer aided
- neural network