Feature Extraction and Machine Learning on Symbolic Music using the music21 Toolkit.
Michael Scott CuthbertChristopher ArizaLisa FriedlandPublished in: ISMIR (2011)
Keyphrases
- machine learning
- feature extraction
- feature selection
- pattern recognition
- music composition
- face recognition
- learning tasks
- machine learning algorithms
- natural language processing
- machine learning methods
- decision trees
- reinforcement learning
- image processing
- feature vectors
- text classification
- image classification
- text mining
- machine learning approaches
- music information retrieval
- pattern classification
- frequency domain
- learning algorithm
- audio signals
- linear feature extraction
- computer music
- discriminant analysis
- image preprocessing
- manifold learning
- inductive learning
- music scores
- music collections
- neural network
- support vector machine
- data mining
- computer vision
- computer science
- knowledge representation
- principal component analysis
- learning systems
- wavelet transform
- defect detection
- statistical methods
- feature representation
- feature extractors
- music recommendation
- active learning
- dimensionality reduction
- support vector machine svm
- artificial intelligence