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Full-Text Articles in Artificial Intelligence and Robotics
Image Classification Using Fuzzy Fca, Niruktha Roy Gotoor
Image Classification Using Fuzzy Fca, Niruktha Roy Gotoor
Department of Computer Science and Engineering: Dissertations, Theses, and Student Research
Formal concept analysis (FCA) is a mathematical theory based on lattice and order theory used for data analysis and knowledge representation. It has been used in various domains such as data mining, machine learning, semantic web, Sciences, for the purpose of data analysis and Ontology over the last few decades. Various extensions of FCA are being researched to expand it's scope over more departments. In this thesis,we review the theory of Formal Concept Analysis (FCA) and its extension Fuzzy FCA. Many studies to use FCA in data mining and text learning have been pursued. We extend these studies to include …
Speech Emotion Recognition Using Convolutional Neural Networks, Somayeh Shahsavarani
Speech Emotion Recognition Using Convolutional Neural Networks, Somayeh Shahsavarani
Department of Computer Science and Engineering: Dissertations, Theses, and Student Research
Automatic speech recognition is an active field of study in artificial intelligence and machine learning whose aim is to generate machines that communicate with people via speech. Speech is an information-rich signal that contains paralinguistic information as well as linguistic information. Emotion is one key instance of paralinguistic information that is, in part, conveyed by speech. Developing machines that understand paralinguistic information, such as emotion, facilitates the human-machine communication as it makes the communication more clear and natural. In the current study, the efficacy of convolutional neural networks in recognition of speech emotions has been investigated. Wide-band spectrograms of the …