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 Application of LSTM Model for Western Music Composition Subject The topic of the resource LSTM; Machine Learning; Neural Networks; Western Music Composition Description An account of the resource Music is one of the innate creative expressions of human beings. Music composition approaches have always been a focal point of music-based research and there has been an increasing interest in Artificial Intelligence (AI) based music composition methods in recent times. Developing an accurate algorithm and neural network architecture is imperative to the success of an AI-based approach to music composition. The present work explores the composition of western music through neural network using a Long Short-Term Memory (LSTM) algorithm. Compositions from seminal western composers such as J.S. Bach, W.A. Mozart, L.V. Beethoven, and F. Chopin were used as the dataset to train the neural network. Seven compositions were generated by the LSTM model and these outputs were presented to a group of thirty volunteers between 18-24 years of age. They were surveyed to identify the music piece as composed by a human or AI and how interesting they found the melodies of each piece. It was found that the LSTM model generated compositions that were thought to be made by a human and create melodies of interest from the perception of the volunteers. It is expected that through this study, more AI-based composition approaches can be developed which encompass more and more of the musical phenomenon. 2022 IEEE. Creator An entity primarily responsible for making the resource Cyriac S.; Ashvinee; Kim Y.W.; Tavis R.L. Source A related resource from which the described resource is derived International Conference on ICT Convergence, Vol-2022-October, pp. 136-141. Publisher An entity responsible for making the resource available IEEE Computer Society Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICTC55196.2022.9952571" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICTC55196.2022.9952571</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143256620&amp;doi=10.1109%2FICTC55196.2022.9952571&amp;partnerID=40&amp;md5=405544f1dc26f67726c3dc4b258b440e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143256620&amp;doi=10.1109%2fICTC55196.2022.9952571&amp;partnerID=40&amp;md5=405544f1dc26f67726c3dc4b258b440e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21621233; ISBN: 978-166549939-2 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 Cyriac S., Christ (Deemed to Be University), Centre for Digital Innovation, Bengaluru, India; Ashvinee, Christ (Deemed to Be University), Centre for Digital Innovation, Bengaluru, India; Kim Y.W., Christ (Deemed to Be University), Centre for Digital Innovation, Bengaluru, India; Tavis R.L., Christ (Deemed to Be University), Ashton-Bell Department of Western Music, Bengaluru, India