Soft Margin Estimation for Speech Recognition. Main Reference: Jinyu Li , " SOFT MARGIN ESTIMATION FOR AUTOMATIC SPEECH RECOGNITION ," PhD thesis, Georgia Institute of Technology School of Electrical and Computer Engineering , 2008. Yueng-Tien , Lo Speech Lab
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
Jinyu Li, " SOFT MARGIN ESTIMATION FOR AUTOMATIC SPEECH RECOGNITION," PhD thesis, Georgia Institute of TechnologySchool of Electrical and Computer Engineering, 2008
Computer Science and Information Engineering
National Taiwan Normal University
Characterize the likelihood of acoustic feature with respect to (w.r.t.) the underlying word sequence.
Provide a way to estimate the probability of a possible word sequence.
in S is called a support token.
: utterance selection : frame selection
1-mixture MLE 16-mixture SME
The larger the separation value, the better the models are.