| 摘要 |
A spoken dialog system using a best-fit language model and a spoken dialog system using best-fit grammar are disclosed. A spoken dialog system implementing both a best-fit language model and best-fit grammar is further disclosed. Regarding the language model, likelihood scores from a large vocabulary continuous speech recognition ("LVCSR") module are used to select the best-fit language model among a general task language model and dialog-state dependent language models. Based on the chosen language model, a dialog manager can implement different strategies to improve general dialog performance and recognition accuracy. Regarding grammar, the best-fit grammar method improves performance and user experience of dialog systems by choosing the best-fit grammar among a general purpose grammar and dialog-state dependent sub-grammars. Based on the selected grammar pattern, the dialog system can choose from varying dialog strategies, resulting in an increase in user acceptance of spoken dialog systems.
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