Accent recognition using i-vector, Gaussian Mean Supervector and Gaussian posterior probability supervector for spontaneous telephone speech.
Mohamad Hasan BahariRahim SaeidiHugo Van hammeDavid A. van LeeuwenPublished in: ICASSP (2013)
Keyphrases
- gaussian mixture model
- posterior probability
- speech recognition
- feature vectors
- probability density function
- maximum likelihood
- mixture model
- bayesian framework
- em algorithm
- spoken language
- generative model
- gaussian distribution
- probability distribution
- bayesian networks
- state vector
- expectation maximization
- prior knowledge
- similarity search
- statistical model
- statistical analysis
- probabilistic model
- active learning
- pattern recognition
- similarity measure