Comparison of Non-Parametric Bayesian Mixture Models for Syllable Clustering and Zero-Resource Speech Processing.
Shreyas SeshadriUlpu RemesOkko RäsänenPublished in: INTERSPEECH (2017)
Keyphrases
- mixture model
- speech processing
- mixture modeling
- gaussian mixture model
- unsupervised learning
- density estimation
- speaker identification
- maximum likelihood
- probability density function
- em algorithm
- speech recognition
- model based clustering
- signal processing
- finite mixture models
- generative model
- probabilistic model
- k means
- bayesian information criterion
- expectation maximization
- multimedia systems
- model selection
- clustering algorithm
- language model
- natural language processing
- dirichlet process mixture models
- bayesian networks
- generalized em algorithm
- english text
- variable length
- artificial intelligence
- n gram
- image processing
- high dimensional data
- video data
- supervised learning
- data points
- object recognition
- information retrieval