Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
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The aim of this paper is to present a cooperative approach to improve the Human-System spoken dialogues. The main advantage of the proposed approach is its ability to reach both ofthe user and the system goals more efficiently. The strategy that underlines our system is well adapted to the mobile applications since it involves effective spoken exchanges to reach the users' and system mutual goals. The proposed fram ework is built in order to use the Hidden Markov Models (HMMs) based CMUSphinx speech recognition engine f or mobile communications. To evaluate our approach a casestudy in the M-tradingfield is considered. The analysis of the case study shows the efficiency ofour strategy in comparison with the usual ones.