ISCA Archive ICSLP 2002
ISCA Archive ICSLP 2002

Can confidence scores help users post-editing speech recognizer output?

Taku Endo, Nigel Ward, Minoru Terada

When dictating with speech recognition, most of the user’s time is spent correcting errors. To decrease the burden we propose new editor functions specifically to speed up the correction process. The idea is to use a recognition confidence measure to predict which words are likely to be in error, to display that information to the user by highlighting suspect words, and to provide a command to let the user jump the cursor to the next suspect word. Simple experiments suggest that these functions can be valuable, even with today’s speech recognizers and confidence measures.