Explaining Spectrograms in Machine Learning: A Study on Neural Networks for Speech Classification.
Jesin JamesBalamurali B. T.Binu AbeysingheJunchen LiuPublished in: CoRR (2024)
Keyphrases
- machine learning
- neural network
- pattern recognition
- feature selection
- decision trees
- machine learning methods
- support vector machine
- image classification
- learning vector quantization
- computer vision
- machine learning approaches
- pattern classification
- neural network model
- fuzzy logic
- text classification
- training process
- supervised machine learning
- statistical analysis
- model selection
- supervised learning
- data mining
- genetic algorithm
- feature space
- feature vectors
- machine learning algorithms
- class labels
- self organizing maps
- classification algorithm
- classification accuracy
- classification rules
- training samples
- multi class
- training data
- speech signal
- feature extraction
- multi layer perceptron
- rule extraction
- empirical studies
- rough sets