Serbian spoken dialogue system for bus travel information retrieval

In this paper we present our recent work in implementing Serbian spoken dialogue system for the bus information retrieval at the main Belgrade bus station. Dialogue is organized into several levels. At each level, system has to recognize a limited number of keywords in continuous speech of Serbian. The keywords were modeled by HMMs (Hidden Markov Models) in such a way that each syllable is three-state HMM. In order to obtain optimal thresholds for integral confidence measure in decoding procedure, we introduced the MSQ — measure of system's quality. The obtained results show that proposed procedure can be used in interactive man-machine dialogue services with the success.