Deep Neural Network Driven Speech Classification for Relevance Detection in Automatic Medical Documentation.
Suhail AhamedGabriele WeilerKarl BodenKai JanuschowskiMatthias StennesPatrick McCraeCornelia BockCarina RaweinMarco PetrisKilian FothKerstin RohmStephan KieferPublished in: MIE (2021)
Keyphrases
- neural network
- learning vector quantization
- features extraction
- pattern recognition
- classification accuracy
- speech music discrimination
- decision trees
- detection method
- pattern classification
- kohonen self organizing map
- statistical classification
- feature extraction
- speech recognition
- neyman pearson
- information retrieval
- data driven
- artificial neural networks
- machine learning
- genetic algorithm
- multi layer perceptron
- training process
- medical diagnosis
- unsupervised learning
- training set
- feature vectors
- feature space
- object detection
- detection algorithm
- anomaly detection
- automatic classification
- speech signal
- class labels
- nearest neighbour
- noisy environments
- incremental learning
- relevance feedback
- support vector machine
- search engine
- evidence based medicine
- classification algorithm
- false positives