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What is Deep Neural Networks for Indian Language Recognition about?

This paper investigates deep neural network (DNN) architectures for language recognition in 12 Indian languages, focusing on the effectiveness of an attention mechanism in DNN models. The authors conducted experiments to evaluate the performance of various DNN configurations, finding that deeper architectures and those incorporating attention mechanisms significantly outperform traditional models. The study highlights the challenges of language recognition due to phonetic overlaps among languages and propos

Author

Susanta Sarangi

Language

EN