Self-Supervised Classification for Detecting Anomalous Sounds.
Ritwik GiriSrikanth V. TennetiFangzhou ChengKarim HelwaniUmut IsikArvindh KrishnaswamyPublished in: DCASE (2020)
Keyphrases
- detecting anomalous
- machine learning
- support vector
- pattern recognition
- classification systems
- benchmark datasets
- feature extraction
- decision trees
- feature vectors
- automatic classification
- classification accuracy
- text classification
- classification method
- support vector machine svm
- image classification
- feature set
- support vector machine
- preprocessing
- image segmentation
- data processing
- anomaly detection
- classification models
- active learning
- classification rate
- data sets