- Preprocessing
- e.g.: segmentation, windowing, FFT, MFCC (mel-frequency cepstrum coefficients)
- Feature extraction
- e.g.: centroid, area, mean
- Feature selection (feature weighting)
- Classification
- Training: ground-truth (separated into: training, validation, and testing datasets) (pdf)
- Validation
- holdout method
- k-fold cross-validation, leave-one-out
- Bootstrapping (resampling with replacement) (bagging)
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