Speaker vectors from subspace Gaussian mixture model as complementary features for language identification.
Oldrich PlchotMartin KarafiátNiko BrümmerOndrej GlembekPavel MatejkaEdward de VilliersJan CernockýPublished in: Odyssey (2012)
Keyphrases
- speaker identification
- gaussian mixture model
- language identification
- complementary features
- feature vectors
- feature space
- speaker recognition
- mixture model
- feature extraction
- em algorithm
- speaker verification
- low dimensional
- dimensionality reduction
- maximum likelihood
- expectation maximization
- principal component analysis
- high dimensional data
- background subtraction
- high dimensional
- active learning
- object recognition
- pattern recognition
- image processing