How to wreck a nice beach you sing calm incense

A principal problem in speech recognition is distinguishing between words and phrases that sound similar but have different meanings. Speech recognition programs produce a list of weighted candidate hypotheses for a given audio segment, and choose the "best" candidate. If the choice is incorrect, the user must invoke a correction interface that displays a list of the hypotheses and choose the desired one. The correction interface is time-consuming, and accounts for much of the frustration of today's dictation systems. Conventional dictation systems prioritize hypotheses based on language models derived from statistical techniques such as n-grams and Hidden Markov Models. We propose a supplementary method for ordering hypotheses based on Commonsense Knowledge. We filter acoustical and word-frequency hypotheses by testing their plausibility with a semantic network derived from 700,000 statements about everyday life. This often filters out possibilities that "don'...

• Type: Conference
• Year: 2005
• Where: IUI
• Authors: Henry Lieberman, Alexander Faaborg, Waseem Daher, José H. Espinosa
• Keywords: Correction Interfaces, Hypotheses, IUI 2005, Software Engineering, Speech Recognition