Local Word Confidence Measure Using Word Graph and N-Best List
Résumé
This paper presents some confidence measures for large vocabulary speech recognition which are based on word graph or N-Best List structures. More and more applications need fast estimation of any measures in order to stay real-time. We propose some simple and fast measures, locally computed, that can be directly used within the first decoding recognition process. We also define some other measures combining word graph and N-Best List. Experimental results on a French broadcast news corpus are also presented.