A Platform of Distributed Speech Recognition for the European Portuguese Language
PROPOR '08 Proceedings of the 8th international conference on Computational Processing of the Portuguese Language
Joining linguistic and statistical methods for Spanish-to-Basque speech translation
Speech Communication
Computer Speech and Language
Evolution of the ASR decoder design
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
Filters for efficient composition of weighted finite-state transducers
CIAA'10 Proceedings of the 15th international conference on Implementation and application of automata
Impact of the approaches involved on word-graph derivation from the ASR system
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Using finite state models for the integration of hierarchical LMs into ASR systems
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
Transcription of multi-variety portuguese media contents
PROPOR'12 Proceedings of the 10th international conference on Computational Processing of the Portuguese Language
Use of contexts in language model interpolation and adaptation
Computer Speech and Language
An approach to intelligent signal processing
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
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This paper presents an algorithm for the composition of weighted finite-state transducers which is specially tailored to speech recognition applications: it composes the lexicon with the language model while simultaneously optimizing the resulting transducer. Furthermore, it performs these computations "on-the-fly" to allow easier management of the tradeoff between offline and online computation and memory. The algorithm is exact for local knowledge integration and optimization operations such as composition and determinization. Minimization and pushing operations are approximated. Our results have confirmed the efficiency of these approximations