|Title||A one-pass Search Algorithm for Understanding Natural Spoken Time Utterances by Stochastic Models|
|Authors||Josef G. Bauer, Holger Stahl, Johannes Müller|
|Type||Scientific Conference Paper|
|Abstract||A system for understanding time utterances spoken in German language is presented. Stochastic models contain the knowledge in the semantic, syntactic and acousticphonetic levels. An adequate semantic representation allows the integration of these models within a one-pass Viterbi search. The simultaneous use of all knowledge sources for the search procedure results in the smallest possible search space for the determination of the most probable semantic content accurately following the Bayes classification rule. Both the recognition accuracy and the computing speed facilitate a realistic application.
Keywords: speech recognition, language understanding, spoken man-machine-dialogue, stochastic models, onepass search, representation of syntactic and semantic knowledge
|Reference||Proceedings Eurospeech '95 (Madrid, Spain, 1995), pp. 567-570
|Download||Scientific Conference Paper as pdf file (45 kByte)|