Conventional approaches to find solution to classification and recognition problems in speech data use features derived based on linear theory of speech production. System based on these features may not always give promising results for the wide variations occurring due to difference in age, accent, and disability of the person. This research aims to address these variations in the speech data and provide a data driven solutions to it. The research also includes data collections for the aforesaid speech variations, especially in the Indian context.
Center for Computational Engineering and Networking (CEN), Coimbatore Campus
Mathematical Knowledge (Linear algebra, Optimization and probability), Programming skills, Knowledge in AI, Machine Learning and Deep Learning
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