Transducer Optimizations for Tight-Coupled Decoding
2001 (English)In: Proceedings of the European Conference on Speech Communication and Technology (Eurospeech), Aalborg, Denmark, 2001: vol 3, 2001, 1607-1610 p.Conference paper (Other academic)
In this paper we apply a framework of finiteastate transducers (FsT) to uniformly represent various information sources and dataastructures used in speech recognition. These source models include contextafree language models, phonology models, acoustic model information (Hidden Markov Models), and pronunciation dictionaries. We will describe how this unified representation can serve as a single input model for the recognizer. We will demonstrate how the application of various levels of optimizations can lead to a more compact representation of these transducers and evaluate the effects on recognition performance, in terms of accuracy and computational complexity.
Place, publisher, year, edition, pages
2001. 1607-1610 p.
Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-24048OAI: oai:DiVA.org:kth-24048DiVA: diva2:342993
QC 201008112010-08-112010-08-112010-08-12Bibliographically approved