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A hybrid computational model for spoken language understanding

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2 Author(s)
Guangpu Huang ; Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore ; Meng Joo Er

This paper shows that the integration of statistical and connectionist methods can greatly enhance human-computer interaction through speech. The research approach is inspired by recent advances in high performance automatic speech recognition (ASR) systems and neurocognitive researches of natural language understanding (NLU). And a modest hybrid computational model is proposed and implemented to achieve intelligent spoken language understanding (SLU) in an information retrieval system.

Published in:
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on

Date of Conference: 7-10 Dec. 2010

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