| Title |
An Efficient top-down Parsing Algorithm for Understanding Speech by Using Stochastic Syntactic and Semantic Models |
| Authors |
Holger Stahl, Johannes Müller, Manfred Lang |
| Abstract |
The paper is concerning an approach for understanding speech using a new form of
probabilistic models to represent syntactic and semantic knowledge of a restricted
domain. One important feature of our grammar is that the parse tree directly
represents the semantic content of the utterance. Since we determine that semantic
content by an integrated search, we avoid consistency problems at the interface
between the recognizer and the language understanding part of the speech
understanding system. We succeeded in designing such an incremental algorithm,
which integrates semantic, syntactic, and acoustic-phonetic knowledge in a seamless,
consistent way. High efficiency is achieved by using a chart-parsing technique with
structure-sharing and a strict top-down strategy for opening new word hypotheses
in the pronunciation layer. |
| Reference |
Proceedings ICASSP 96 (Atlanta, USA, 1996), vol. 1, pp. 397-400 |
| Year |
1996 |
| Language |
English |
| Full Paper |
 download pdf file |
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