A more efficient and optimal LLR for decoding and verification
Lam Kwok Leung, Pascale Fung · 1999
We propose a new confidence score for decoding and verification. Since the traditional log likelihood ratio (LLR) is borrowed from speaker verification technique, it may not be appropriate for decoding because we do not have a good modelling and definition of LLR for decoding/utterance verification. We have proposed a new formulation of LLR that can be used for decoding and verification task. Experimental results show that our proposed LLR can perform equally well compared with the result based on maximum likelihood in a decoding task. Also, we get an 5% improvement in decoding compared with traditional LLR.