Sangramsing Kayte is a postdoc researcher at the Department of Information Engineering (DII), Marche Polytechnic University, Ancona, Italy. He has successfully completed his postdoc in Natural language processing at Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark in a project on European Union Tender Database to identifying Common Procurement Vocabulary (CPV code) and get related Information. It involves the collection of Tender-based databases and proposes a new method of automatized text generation and subsequent classification of the European Union Tender Electronic Daily, text documents into predefined technological categories of the dataset. He has implemented a neural machine learning model based on Recurrent Neural Network and Long Short-Term Memory, nodes for text generation, and Support Vector Machine for subsequent code classification.
He holds a Ph.D. in speech processing at the Faculty of Engineering (Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad) with a Ph.D. thesis on Text-To-Speech Synthesis in Indian Languages such as Hindi, Marathi, and Indian English. Also awarded with MPhil and MSc in Computer Science from Dr. Babasaheb Ambedkar Marathwada University, India.
Machine Learning, Deep Learning, Speech Diarization, Speech Processing, Natural Language Processing, Text Generation, Entrepreneurship, Innovation.