Mesures de confiance locales et trame-synchrones
Résumé
This paper presents several new confidence measures with the major advantage that they can be evaluated as soon as possible without having to wait for the recognition process to be completed: synchronously with the frame processed by the engine or with a slight delay. Such measures are useful to drive the recognition process by modifying the likelihood score or to validate recognized words in on-the-fly applications as keyword spotting task and on-line automatic speech transcription for deaf people. The EER evaluation on a French broadcast news corpus shows performance close to the batch version of these measures (23.0% against 22.0% of EER) with only 0.84s of data before and after the word to analyze.