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Sprachverstehen in neuronalen Architekturen Technischer Abschlussbericht

By R. Deffner, K. Eder, H. Geiger, M. Sturm and Unterschleissheim (Germany) Kratzer Automatisierung GmbH Muenchen

Abstract

The report describes the SPINA (Speech Recognition In Neural Architectures) speech recognition system, which is to be used as software user surfaces, for operating of machines and devices and for teaching of robots. By the SPINA system spoken, simply structured imperative sentences are translated into executable machine instructions. The system is composed of three components: transition of acoustic signals into characteristic vectors, neural hetero-associative memory for the transition of characteristic vectors into characteristic lexical units, and a neural hetero-associative memory for classification of the sequences of the characteristic lexical units. (WEN)SIGLEAvailable from TIB Hannover: F95B1170+a / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekBundesministerium fuer Forschung und Technologie (BMFT), Bonn (Germany)DEGerman

Topics: 09B - Circuits, NEURAL NETS: M, LANGUAGE RECOGNITION: M, TRANSLATION, SENTENCE RECOGNITION, ASSOCIATIVE STORAGE DEVICE, SPOKEN LANGUAGE, ROBOT STEERING
Year: 1995
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Provided by: OpenGrey Repository
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