A comparison of procedures for the calculation of forensic likelihood ratios from acoustic-phonetic data: Multivariate kernel density (MVKD) versus Gaussian mixture model-universal background model (GMM-UBM).
Geoffrey Stewart MorrisonPublished in: Speech Commun. (2011)
Keyphrases
- gaussian mixture model
- background subtraction
- mixture model
- background model
- maximum likelihood
- mixture of gaussians
- feature vectors
- gaussian mixture
- feature space
- gaussian model
- gaussian distribution
- density estimation
- em algorithm
- probability density function
- expectation maximization
- speaker recognition
- gaussian mixture modeling
- input image
- prior knowledge
- training data