Speaker Clustering Based on Non-Negative Matrix Factorization Using Gaussian Mixture Model in Complementary Subspace.
Masafumi NishidaSeiichi YamamotoPublished in: CBMI (2017)
Keyphrases
- negative matrix factorization
- gaussian mixture model
- speaker recognition
- principal component analysis
- speaker clustering
- speaker identification
- feature space
- dimensionality reduction
- mixture model
- discriminant analysis
- nonnegative matrix factorization
- sparse representation
- em algorithm
- feature vectors
- subspace learning
- feature transformation
- low dimensional
- maximum likelihood
- high dimensional data
- high dimensional
- document clustering
- matrix factorization
- expectation maximization
- probability density function
- feature extraction
- spectral clustering
- speech recognition
- gaussian mixture
- face recognition
- input data
- natural language processing
- image classification
- speaker verification
- pattern recognition
- partially supervised