Title :
A hybrid computational model for spoken language understanding
Author :
Huang, Guangpu ; Er, Meng Joo
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
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.
Keywords :
cognitive systems; human computer interaction; information retrieval; natural language processing; speech recognition; statistical analysis; automatic speech recognition system; human computer interaction; hybrid computational model; information retrieval system; intelligent spoken language understanding; natural language understanding; neurocognitive research; statistical methods; Acoustics; Computational modeling; Hidden Markov models; Semantics; Speech; Speech recognition; Syntactics; Human-computer interaction; natural language understanding; speech recognition; spoken language understanding;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-7814-9
DOI :
10.1109/ICARCV.2010.5707258
