Text-dependent Forensic Voice Comparison: Likelihood Ratio Estimation with the Hidden Markov Model (HMM) and Gaussian Mixture Model.
Satoru TsugeShunichi IshiharaPublished in: ALTA (2018)
Keyphrases
- hidden markov models
- gaussian mixture model
- likelihood ratio
- hypothesis testing
- density estimation
- mixture model
- em algorithm
- maximum likelihood criterion
- speech recognition
- feature vectors
- probability density function
- expectation maximization
- gaussian mixture
- information retrieval
- document analysis
- maximum likelihood
- handwritten word recognition
- gesture recognition
- speaker recognition
- conditional random fields
- hidden states
- hierarchical hidden markov model
- feature space
- viterbi algorithm
- maximum likelihood estimation
- hidden state
- handwritten words
- baum welch
- continuous hidden markov models
- exponential family
- latent variables
- document images
- parameter estimation
- text mining