From Monologue to Dialogue: Natural Language Generation in OVIS

This paper describes how a language generation system that was originally designed for monologue generation, has been adapted for use in the OVIS spoken dialogue system. To meet the requirement that in a dialogue, the system's utterances should make up a single, coherent dialogue turn, several modifications had to be made to the system. The paper also discusses the influence of dialogue context on information status, and its consequences for the generation of referring expressions and accentuation

Marathi Speech Interface System for the Activation and Controlling of Electronic Equipment

This paper provides a framework to design Marathi speech recognition interface system to control the electronic equipment like fan and electric bulb. This system is designed using HM2007 speech recognition kit. HM2007 is a single chip CMOS LSI circuit with on chip front end and analysis. The interface system is trained with the database of total 15 most commonly used words to activate and control the equipment. The training and testing of Marathi speech interface system is done in noisy and noise free environment. The performance of MSAEE system calculated on the basis of False Acceptance Rate (FAR), False Recognition Rate (FRR), Word Error Rate (WER), sensitivity, specificity and F-Measure. The average accuracy obtained in noisy environment is 88.77% whereas the accuracy of 98.88% is achieved without noise. The sensitivity value is superior then specificity means MSAEE system is robust and dynamic. FAR values is most significant than value of FRR so, it means MSAEE system proved a best solution for controlling electrical appliances. HM2007 is found to be most promising speech recognition IC, through which many speech interface application can be built that will be beneficial to people with less mobility. DOI: 10.17762/ijritcc2321-8169.160411

Mapping the dialog act annotations of the LEGO corpus into ISO 24617-2 communicative functions

ISO 24617-2, the ISO standard for dialog act annotation, sets the ground for more comparable research in the area. However, the amount of data annotated according to it is still reduced, which impairs the development of approaches for automatic recognition. In this paper, we describe a mapping of the original dialog act labels of the LEGO corpus, which have been neglected, into the communicative functions of the standard. Although this does not lead to a complete annotation according to the standard, the 347 dialogs provide a relevant amount of data that can be used in the development of automatic communicative function recognition approaches, which may lead to a wider adoption of the standard. Using the 17 English dialogs of the DialogBank as gold standard, our preliminary experiments have shown that including the mapped dialogs during the training phase leads to improved performance while recognizing communicative functions in the Task dimension.info:eu-repo/semantics/publishedVersio

An information assistant system for the prevention of tunnel vision in crisis management

In the crisis management environment, tunnel vision is a set of bias in decision makers’ cognitive process which often leads to incorrect understanding of the real crisis situation, biased perception of information, and improper decisions. The tunnel vision phenomenon is a consequence of both the challenges in the task and the natural limitation in a human being’s cognitive process. An information assistant system is proposed with the purpose of preventing tunnel vision. The system serves as a platform for monitoring the on-going crisis event. All information goes through the system before arrives at the user. The system enhances the data quality, reduces the data quantity and presents the crisis information in a manner that prevents or repairs the user’s cognitive overload. While working with such a system, the users (crisis managers) are expected to be more likely to stay aware of the actual situation, stay open minded to possibilities, and make proper decisions