AN EFFICIENT DATA STORAGE AND RETRIEVAL SYSTEM FOR DISCRETE HIDDEN MARKOV MODEL SPEECH RECOGNITION SYSTEMS
Original Publication Date: 1994-Feb-01
Included in the Prior Art Database: 2002-Feb-26
We propose here a novel approach for storing and retrieving the statistical data associated with a HMM by taking advantage of existing redundancy and clustering properties of that data. This method results in a significant reduction in the required mem- ory storage requirements while leaving the overall recognition accuracy of the system unalfected adding only minimally to the overall computational load.