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Automatic emotion recognition from speech signals without linguistic cues has been an important emerging research area. Integrating emotions in human–computer interaction is of great importance to effectively simulate real life scenarios. Research has been focusing on recognizing emotions from acted speech while little work was done on natural real life utterances. English, French, German and Chinese...
In this paper, emotion recognition in Arabic spoken data is studied for the first time. A realistic speech corpus from Arabic TV shows is collected. The videos are labeled by their perceived emotions; namely happy, angry or surprised. Prosodic features are extracted and various classification methods are applied. Results are analyzed in this paper and conclusions and future recommendations are identified.
Sentiment Analysis is the process of identifying sentiment from text written in a natural language with respect to the entity it is referring to. Sentiment lexicons are used to perform this task. Several lexicons are available to perform this task in English using WordNet. In this paper, we present a new method to create a sentiment lexicon for the Arabic language using semi-supervised learning on...
Web page evaluation systems are needed to evaluate the accessibility of websites. Such evaluation is important so that website administrators can change their websites so people with disabilities would be able to use them. Currently, such systems produce varying results that are not always useful for website administrators. Moreover it is difficult to ascertain for sure to what degree the web pages...
Social networks contain large amounts of posts of different data types (text, images, sounds and videos). Textual posts express authors' opinions (with or against) or feeling (love, hate, optimism, pessimism, or anger). Such opinions are important for commercial and governmental organization since they help checking public opinion about a product, policy or an object in general. In this paper we present...
Automatic detection and recognition of traffic signs is an important tool in intelligent vehicles. It allows more autonomous vehicles and it can alert the driver to possible hazards and changes in the road. In this paper we focus on the recognition of a wide set of triangular traffic signs using a novel algorithm, the Number of Peaks. Once a traffic sign is detected, three horizontal lines (T, H,...
Fleet management is an important topic in research and development nowadays. Companies, security and emergency forces need to keep track of their trucks and cars and know where a vehicle is at a moment in time, and when, where and for how long a vehicle stopped. In this paper, a system for automating fleet management systems is described. The hardware of our system is a microprocessor-based embedded...
Automatic recognition of printed and handwritten documents remains an active area of research. Arabic is one of the languages that present special problems. Arabic is cursive and therefore necessitates a segmentation process to determine the boundaries of a character. Arabic characters consist of multiple disconnected parts. Dots and Diacritics are used in many Arabic characters and can appear above...
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