Silence Models in Weighted Finite-State Transducers
We investigate the effects of different silence modelling strategies in Weighted Finite-State Transducers for Automatic Speech Recognition. We show that the choice of silence models, and the way they are included in the transducer, can have a significant effect on the size of the resulting transducer; we present a means to prevent particularly large silence overheads. Our conclusions include that context-free silence modelling fits well with transducer based grammars, whereas modelling silence as a monophone and a context has larger overheads.
- URL: http://publications.idiap.ch/downloads/papers/2008/pgarner-interspeech-2008.pdf
- Related documents: http://publications.idiap.ch/index.php/publications/showcite/pgarner:rr08-19
Record created on 2010-02-11, modified on 2016-08-08