10,446 research outputs found

    ASR-based Features for Emotion Recognition: A Transfer Learning Approach

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    During the last decade, the applications of signal processing have drastically improved with deep learning. However areas of affecting computing such as emotional speech synthesis or emotion recognition from spoken language remains challenging. In this paper, we investigate the use of a neural Automatic Speech Recognition (ASR) as a feature extractor for emotion recognition. We show that these features outperform the eGeMAPS feature set to predict the valence and arousal emotional dimensions, which means that the audio-to-text mapping learning by the ASR system contain information related to the emotional dimensions in spontaneous speech. We also examine the relationship between first layers (closer to speech) and last layers (closer to text) of the ASR and valence/arousal.Comment: Accepted to be published in the First Workshop on Computational Modeling of Human Multimodal Language - ACL 201

    Solutions de viscosite des equations de Hamilton-Jacobi en dimension infinie. Cas stationnaire

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    We show the uniqueness and the existence of viscosity solutions of Hamilton-Jacobi equations on a smooth Banach spaces. The tool used is the variational principle of Deville, Godefroy and Zizler. The existence is given by Perron's method. So we give a comparaison assertion for semicontinuous solutions

    ADO-Tutor: Intelligent Tutoring System for leaning ADO.NET

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    This paper describes an Intelligent Tutoring System for helping users with ADO.NET called ADO-Tutor. The Intelligent Tutoring System was designed and developed using (ITSB) authoring tool for building intelligent educational systems. The user learns through the intelligent tutoring system ADO.NET, the technology used by Microsoft.NET to connect to databases. The material includes lessons, examples, and questions. Through the feedback provided by the intelligent tutoring system, the user's understanding of the material is assessed, and accordingly can be guided to different difficulty level of exercises and/or the lessons. The Intelligent Tutoring System was evaluated by a group of users and the results were more than satisfactory in terms of the quality of the material and the design of the system

    Non-Functional Properties in Service Selection

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    Service selection is an important step of the service composition process. Multiple services functionally equivalent might be offered by different providers but characterized by different non functional properties such as Quality of Service (QoS) values (e.g. execution price, success rate) and transactional properties (e.g. compensatable or not). Since the QoS of the selected services has an impact on the QoS of the produced composite service, the best set of services to be selected is the set that maximize the QoS of the composite service. In the literature, many approaches have been proposed for the QoS-aware service selection problem which has been formalized as an optimization problem. The talk will first overview some optimization techniques and their application to the service selection problem and next present a service selection approach based not only according to their functional requirements but also to their transactional properties.Universidad de Málaga. Campus de Excelencia Internacional Andalucí

    Female wages in the Egyptian textiles and clothing industry: Low pay or discrimination?

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    This Population Council working paper analyzes data collected from a survey of firms and workers in the textiles and clothing sector in Egypt. These data allow for the explanation of the sector’s gender wage gap by poorer endowments, and relegation of women to low-paying firms and occupations; and by within-firm and within-occupation differential in returns. There is a pay gap in this sector, with men receiving an hourly wage 29 percent higher than that of women, partly because women are concentrated in the lower paid occupations, with a clear glass ceiling in effect, and outright discrimination occurs. The largest of the pay gaps is attributable to differences in endowments, such as worker education and experience. Thus, closing the pay gap is not just a matter of equal pay for equal work, as is now being discussed in Egypt, but of enhancing women’s capabilities to ensure equality of opportunity upon entering the labor force
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