Abstract

This paper presents an application, “LentInfo”, which is a system used to provide information about programmes for the Festival Lent in Slovenia. The Festival Lent consists of different open-air theatre and music performances and raws more than 400,000 visitors per year. This application is based on a Hidden Markov Model (HMM) speech recogniser, and the dialogue construction and management is done using the CSDP (Common Spoken Dialogue Platform) dialogue management system. It is represented as a finite-state structure. The dialogue can be specified in a script using simple syntax description. The dialogue manager is multi-application oriented, so it can easily be upgraded for new applications. If some new concepts are needed, only new actions need be added to the existing ones. Currently, prompt messages are prerecorded, but it is also possible to include a speech synthesis system depending on the needs of the application. Error recovery during the dialogue is done with user confirmation of the recognised input speech. The results are presented for tests performed in the year 2001. The results are analyzed according to the phone type (fixed/mobile), signal to noise ratio, dialogue path, etc. Although some calls where carried out using mobile phones from noisy festival places, the performance of the system decreased only slightly under these conditions.

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