Proceedings ArticleDOI
Research towards speech understanding models for artificial and natural languages
Jean-Paul Haton,J.-F. Mari,J.-M. Pierrel +2 more
- Vol. 2, pp 807-810
TLDR
A comparative study of two syntactic models used concurrently in this experiment : a classical top-down model and a generalized bottom-up, island-driven model are presented and the generalization of this model to natural language understanding system is discussed.Abstract:
The Signal Processing and Pattern Recognition Group in Nancy is developing the MYRTILLE System for recognizing and understanding sentences in artificial and natural languages. A model for the oral control of a telephone exchange with an artificial language was proposed and described at ICASSP 76. In this paper, we first present a comparative study of two syntactic models that we have used concurrently in this experiment : a classical top-down model and a generalized bottom-up, island-driven model. Then, we discuss the generalization of this model to natural language understanding system (e.g. for the oral consultation of a data base). Such a generalization involves a very different structure, which is described in details.read more
Citations
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Dissertation
Vers la définition d'un modèle cognitif autour de la représentation du temps dans un système de dialogue Homme-Machine
TL;DR: Ensemble de recherches dont l'objectif est de mettre en œuvre des systemes de dialogue homme-machine possedant un comportement aussi naturel que possible, propose un modele cognitif de representation du temps.
Journal ArticleDOI
The use of the Dempster-Shafer rule in the lexical component of a man-machine oral dialogue system
TL;DR: The Dempster-Shafer formalism is applied in order to combine information in the lexicon, using a frequency distribution as the basis for evidence evaluation and has suitable properties in the case of an oral dialogue system, as it preserves module autonomy and allows backtracking at any time during the recognition process.
Proceedings ArticleDOI
Syntactic--Semantic interpretation of sentences in the MYRTILLE II speech understanding system
J.-M. Pierrel,J.-P. Haton +1 more
TL;DR: This paper focuses on the syntactic-semantic component of the MYRTILLE II system, a system which is now being implemented at CRIN in order to understand a wide subset of natural spoken French.
Proceedings ArticleDOI
An experimental system for acoustic-phonetic decoding of continuous speech
J.-P. Haton,C. Sanchez +1 more
TL;DR: A prototype for the acoustic-phonetic processing level, which makes it possible to test various parameters and strategies for phonemic transcription of continuous speech, is realized in the framework of MYRTILLE II Speech Understanding System.
Book ChapterDOI
Semantic and Pragmatic Processing in Continuous Speech Understanding
TL;DR: The use of speech in man-machine communication is becoming increasingly important and research in this area is now a part of computer science activity, related both to signal processing, pattern recognition and artificial intelligence.
References
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Proceedings ArticleDOI
Organization and operation of a connected speech understanding system at lexical, syntactic and semantic levels
J.-P. Haton,J.-M. Pierrel +1 more
TL;DR: This paper describes a connected speech understanding system being implemented in Nancy made up of an acoustic recognizer which gives a string of phoneme-like segments from a spoken sentence, a syntactic parser which controls the recognition process, a word recognizer working on words predicted by the parser and a dialog procedure which takes in account semantic constraints in order to avoid some of the errors and ambiguities.
Journal ArticleDOI
A practical application of a real-time isolated-word recognition system using syntactic constraints
TL;DR: An application of a real-time isolated-word recognition system, to the recognition of sentences of a language used in numerical command of machine tools, which will then be adapted to the Recognition of connected speech, as well as in the design of new languages for man-machine voice communication.