Classification of Depression and Other Psychiatric Conditions Using Speech Features Extracted from a Thai Psychiatric and Verbal Screening Test.
Nittayapa KlangpornkunM. RuangritchaiAdirek MunthuliChutamanee OnsuwanK. JaisinK. PattanaseriJ. LortrakulP. ThanakulakkarachaiThanaporn AnansiripinyoA. AmornlaksananonS. LaohaweeCharturong TantibundhitPublished in: EMBC (2021)
Keyphrases
- extracted features
- feature set
- feature vectors
- classification accuracy
- extracting features
- classification models
- textural features
- feature extraction
- classification process
- classification method
- feature space
- class labels
- decision trees
- high dimensionality
- svm classifier
- benchmark datasets
- emotion classification
- feature selection
- speech recognition
- mel frequency cepstral coefficients
- low level
- feature analysis
- spectral features
- support vector
- automatically extracted
- machine learning algorithms
- lexical features
- discriminative features
- feature representation
- training set
- feature selection algorithms
- feature subset
- classification algorithm
- high risk
- training data
- support vector machine
- supervised learning
- text classification
- acoustic signals
- train a support vector machine
- grey level co occurrence matrix