| Title |
A one-pass Search Algorithm for Understanding Natural Spoken Time Utterances by Stochastic Models |
| Authors |
Josef G. Bauer, Holger Stahl, Johannes Müller |
| 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 |
| Year |
1995 |
| Language |
English |
| Full Paper |
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