Sentence Understanding and Learning of New Words with Large-Scale Neural Networks

Authors:
Heiner Markert;Zöhre Kara Kayikci;Günther Palm
Affiliations:
Institute of Neural Information Processing, University of Ulm, Ulm, Germany 89069;Institute of Neural Information Processing, University of Ulm, Ulm, Germany 89069;Institute of Neural Information Processing, University of Ulm, Ulm, Germany 89069
Venue:
ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
Year:
2008

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Abstract

We have implemented a speech command system which can understand simple command sentences like "Bot lift ball" or "Bot go table" using hidden Markov models (HMMs) and associative memories with sparse distributed representations. The system is composed of three modules: (1) A set of HMMs is used on phoneme level to get a phonetic transcription of the spoken sentence, (2) a network of associative memories is used to determine the word belonging to the phonetic transcription and (3) a neural network is used on the sentence level to determine the meaning of the sentence. The system is also able to learn new object words during performance.