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This tutorial will give a practical description of the free software Carnegie Mellon Olympus 2 Spoken Dialog Architecture. Building real working dialog systems that are robust enough for the general public to use is difficult. Most frequently, the functionality of the conversations is severely limited down to simple question-answer pairs. While offthe-shelf toolkits help the development of such simple systems, they do not support more advanced, natural dialogs nor do they offer the transparency and flexibility required by computational linguistic researchers. . | Building Practical Spoken Dialog Systems Antoine Raux1 Brian Langner2 Alan W Black3 Maxine Eskenazi4 Language Technologies Institute Carnegie Mellon University Pittsburgh PA USA antoine blangner awb max @cs.cmu.edu 1 Abstract This tutorial will give a practical description of the free software Carnegie Mellon Olympus 2 Spoken Dialog Architecture. Building real working dialog systems that are robust enough for the general public to use is difficult. Most frequently the functionality of the conversations is severely limited -down to simple question-answer pairs. While off-the-shelf toolkits help the development of such simple systems they do not support more advanced natural dialogs nor do they offer the transparency and flexibility required by computational linguistic researchers. However Olympus 2 offers a complete dialog system with automatic speech recognition Sphinx and synthesis SAPI Festival and has been used along with previous versions of Olympus for teaching and research at Carnegie Mellon and elsewhere for some 5 years. Overall a dozen dialog systems have been built using various versions of Olympus handling tasks ranging from providing bus schedule information to guidance through maintenance procedures for complex machinery to personal calendar management. In addition to simplifying the development of dialog systems Olympus provides a transparent platform for teaching and conducting research on all aspects of dialog systems including speech recognition and synthesis natural language understanding and generation and dialog and interaction management. The tutorial will give a brief introduction to spoken dialog systems before going into detail about how to create your own dialog system within Olympus 2 using the Let s Go bus information system as an example. Further we will provide guidelines on how to use an actual deployed spoken dialog system such as Let s Go to validate research results in the real world. As a possible testbed for such research we will
