Gaussian mixture models for signal mapping and positioning.
Matti RaitoharjuÁngel F. García-FernándezRoland HostettlerRobert PichéSimo SärkkäPublished in: Signal Process. (2020)
Keyphrases
- gaussian mixture model
- mixture model
- feature vectors
- expectation maximization
- signal processing
- em algorithm
- speaker recognition
- covariance matrices
- probability density
- non stationary
- gaussian mixture
- frequency domain
- gaussian distribution
- density estimation
- probability density function
- maximum likelihood
- variational bayes
- speaker identification
- finite mixtures
- feature extraction
- distance measure
- feature space