Using ASR Posterior Probability and Acoustic Features for Voice Disorder Classification.
Miklós Gábriel TulicsGyörgy SzaszákKrisztina MészárosKlára VicsiPublished in: CogInfoCom (2020)
Keyphrases
- posterior probability
- automatic speech recognition
- acoustic features
- mel frequency cepstral coefficients
- prior probabilities
- bayesian networks
- machine learning
- bayesian framework
- pattern recognition
- probabilistic model
- support vector
- classification accuracy
- probability distribution
- speech signal
- feature extraction
- generative model
- music information retrieval
- computer vision
- model selection
- graphical models
- supervised learning
- training set
- decision trees
- probability density function
- conditional probabilities
- text classification
- image retrieval
- audio features