Showing papers by "Gerhard Sagerer published in 1988"
01 Jan 1988
TL;DR: Criteria for both a knowledge representation scheme and system architectures are developed based on a detained discussion of system architectures for knowledge based speech understanding and knowledge representation techniques.
Abstract: Based on a detained discussion of system architectures for knowledge based speech understanding and knowledge representation techniques, criteria for both a knowledge representation scheme and system architectures are developed. Upon this background a system is introduced which is organized around a homogenuous knowledge base. Both the knowledge representation language and the content of the knowledge base are described. The knowledge representation language do not only cover declarative but also procedural knowledge. Analysis processes are guided by a flexibel bottom-up top-down strategy. Besides the procedural semantics of the language the A -Algorithm is used for this purpose. Search graph nodes are judged by a vector which reflects knowledge dependent and acoustic scores and which is admissable for the A -Algorithm.
14 citations
TL;DR: The work in the development of the speech understanding and dialog system EVAR is described, containing the relevant knowledge bases containing the raw linguistic knowledge and the preprocessors converting this to the specialized form needed by the processing algorithms.
Abstract: This article describes the work in the development of the speech understanding and dialog system EVAR. The relevant knowledge bases containing the raw linguistic knowledge and the preprocessors converting this to the specialized form needed by the processing algorithms are treated. Processing so far covers the level of the speech signal up to the level of pragmatic analysis. Some topics of ongoing and future work are mentioned briefly.
14 citations
TL;DR: Two control strategies are presented as working on a hierarchical knowledge structure based on a semantic network which is a mixture of top-down (model driven) and bottom-up ( data driven) analysis.
Abstract: Two control strategies are presented as working on a hierarchical knowledge structure based on a semantic network. The control algorithms cover strict top-down control and a bidirectional control which is a mixture of top-down (model driven) and bottom-up (data driven) analysis. The knowledge used by the algorithm is represented in a semantic network. Besides the network some other knowledge sources may be generated automatically to direct the analysis and limit the search space. The approach was used successfully in image and speech understanding.
2 citations