A new clustering approach for solving the permutation problem in convolutive blind source separation.
Radoslaw MazurJan Ole JungmannAlfred MertinsPublished in: WASPAA (2013)
Keyphrases
- blind source separation
- algebraic equations
- independent component analysis
- component analysis
- non stationary
- clustering algorithm
- source separation
- clustering method
- eigenvalue decomposition
- k means
- adaptive particle swarm optimization
- blind separation
- sparse representation
- document clustering
- data clustering
- mixing matrix
- negative matrix factorization
- independent components
- natural gradient
- data mining
- source signals
- speech signal
- cluster analysis
- unsupervised learning
- data points
- spectral clustering
- neural network