Date of Award
Spring 2003
Document Type
Thesis - Restricted
Degree Name
Master of Science (MS)
Department
Electrical and Computer Engineering
First Advisor
Johnson, Michael T.
Second Advisor
Heinen, James A.
Third Advisor
Povinelli, Richard J.
Abstract
One of the key issues in speech recognition is to find a good acoustic model which accounts for important variabilities, like co-articulation, that affect speech. From all the models developed to reach this objective, the triphone model is the most successful one. Triphones are typically estimated. through training. Due to that fact, triphones are subject to limitations such as the need for a large set of balanced training data, and the impossibility to have examples needed for all possible models. Our goal in this research is to understand how co-articulation works and to formulate a model for co-articulation, which will be used to create triphones directly from monophones. To achieve this interesting but challenging goal, we model triphones as an interpolation between monophornes, and derive the rules that govern this interpolation. We call this method "Triphone creation through rule-based trajectory interpolation".
Recommended Citation
Hounkpevi, Franck O., "Triphone Creation Through Rule-Based Trajectory Interpolation for Continuous Speech Recognition" (2003). Master's Theses (1922-2009) Access restricted to Marquette Campus. 4810.
https://epublications.marquette.edu/theses/4810