Current voice recognition
software relies on statistical techniques to determine which words
a user has said. In this project we are attempting to leverage the
semantic context of what the user has previously said to improve
future predictions. We are using
ConceptNet, a semantic network
created from the
Open Mind Common Sense knowledge base to
disambiguate phonetically similar words and improve overall
recognition accuracy.
