Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Spoken Language Identification using Deep Learning Subject The topic of the resource deep neural network; Language identification; major indian spoken languages; mel-frequency cepstral coefficients; spoken language Description An account of the resource A crucial problem in natural language processing is language identification, which has applications in speech recognition, translation services, and multilingual content. The five main Indian languages that are the subject of this study are Hindi, Bengali, Tamil, English, and Gujarati. A Deep Neural Network is introduced in the paper which is specifically made to use Mel-Frequency Cepstral Coefficients (MFCCs) for sophisticated language categorization. The suggested architecture of the model, which includes batch normalisation and tightly linked layers, helps it to be adept at identifying complex linguistic patterns. Comparing the research to the source work [18], promising improvements are shown, highlighting the potential of the model in language detection. 2024 IEEE. Creator An entity primarily responsible for making the resource Julius C.A.; Vijayalakshmi S.; Palathara T.S. Source A related resource from which the described resource is derived 2024 International Conference on Electrical, Electronics and Computing Technologies, ICEECT 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICEECT61758.2024.10738935" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICEECT61758.2024.10738935</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211124095&amp;doi=10.1109%2FICEECT61758.2024.10738935&amp;partnerID=40&amp;md5=2c5665158c18ca315fc898d2d0ac9a1e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211124095&amp;doi=10.1109%2fICEECT61758.2024.10738935&amp;partnerID=40&amp;md5=2c5665158c18ca315fc898d2d0ac9a1e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835037809-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Julius C.A., Christ University, Deparment of Data Science, Lavasa, Pune, India; Vijayalakshmi S., Christ University, Deparment of Data Science, Lavasa, Pune, India; Palathara T.S., Christ University, Deparment of Data Science, Lavasa, Pune, India