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Finite State Grammars and Language Models for Automatic Speech Recognition
 Beneš, Karel ; Glembek, Ondřej (oponent) ; Hannemann, Mirko (vedoucí práce)
This thesis deals with the transformation of Context Free Grammars (CFG) into Weighted Finite State Transducers (WFST). A subset of CFG is chosen, that can be transformed exactly. Both the test of whether a CFG fulfills such condition and the algorithm for the following transformation are presented. A tool has been implemented, which performs both these tasks, also its input and output processing are reported. Using this tool, a speech recognition system for aircraft cockpit control has been built. Results are presented which show, that the system based on the transformed grammar outperforms the system based on general-purpose language model.
Úplný záznam
Finite State Grammars and Language Models for Automatic Speech Recognition
 Beneš, Karel ; Glembek, Ondřej (oponent) ; Hannemann, Mirko (vedoucí práce)
This thesis deals with the transformation of Context Free Grammars (CFG) into Weighted Finite State Transducers (WFST). A subset of CFG is chosen, that can be transformed exactly. Both the test of whether a CFG fulfills such condition and the algorithm for the following transformation are presented. A tool has been implemented, which performs both these tasks, also its input and output processing are reported. Using this tool, a speech recognition system for aircraft cockpit control has been built. Results are presented which show, that the system based on the transformed grammar outperforms the system based on general-purpose language model.
Úplný záznam

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