Sample size and the multivariate kernel density likelihood ratio: How many speakers are enough?
Vincent HughesPublished in: Speech Commun. (2017)
Keyphrases
- sample size
- likelihood ratio
- kernel density
- statistical tests
- hypothesis testing
- mean shift
- hypothesis test
- confidence intervals
- hidden markov models
- model selection
- random sampling
- likelihood ratio test
- upper bound
- covariance matrix
- small sample
- statistical significance
- regression model
- pac learning
- small sample size
- small samples
- progressive sampling
- variance reduction
- worst case
- statistical power
- match scores
- statistical hypothesis testing
- random sample
- objective function
- feature extraction
- decision trees