Mandar Rahurkar

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Studies have shown that the performance of speech recognition algorithms severely degrade due to the presence of task and emotional induced stress in adverse conditions. This paper addresses the problem of detecting the presence of stress in speech by analyzing nonlinear feature characteristics in specific frequency bands. The framework of the previously(More)
Search, exploration and social experience on the Web has recently undergone tremendous changes with search engines, web portals and social networks o↵ering a di↵erent perspective on information discovery and consumption. This new perspective is aimed at capturing user intents, and providing richer and highly connected experiences. The new battle-ground(More)
In this work we propose an approach to combine audio and video modalities for person tracking using graphical models. We demonstrate a principled and intuitive framework for combining these modalities to obtain robustness against occlusion and change in appearance. We further exploit the temporal correlations that exist for a moving object between adjacent(More)
In this paper we explore the use of nonlinear Teager Energy Operator based features derived from multi-resolution sub-band analysis for classification of emotional/stressful speech. We propose a novel scheme for automatic sub-band weighting in an effort towards developing a generic algorithm for understanding emotion or stress in speech. We evaluate the(More)
The problem of detecting psychological stress from speech is challenging due to differences in how speakers convey stress. Changes in speech production due to speaker state are not linearly dependent on changes in stress. Research is further complicated by the existence of different stress types and the lack of metrics capable of discriminating stress(More)
We present a novel and intuitive framework for building modular vision systems for complex tasks such as surveillance applications. Inspired by graphical models, especially factor graphs, the framework allows capturing the dependencies between different variables in form of a graph. This enforces principled coordination and exchange of information between(More)
In this paper, we investigate the problem of improving the relevance of a Web search engine by adapting it to the dynamic needs of the user. We examine a representative case of sudden information need change, namely the exposure of the user to news data. In our earlier work we showed that the majority of queries submitted by users after browsing documents(More)