QUANTUM ALGORITHM BASED MUSIC GENERATION USING QISKIT

  • Ankit Yadav ,Mukul Sharma , Ankur Yadav , Dr.Jayakumar, Vaithiyashankar,
Keywords: machine translation, spoken dialogue generation and understand

Abstract

Most of us like to listen music or muttering music and if there could be a possible way in which you can generate your own tune by simply finding pattern between your favourite music’s or tunes that user want to then it could revolutionize the music industry(company) for good then we guess it is a big leap in this industry or it could be biggest boom in this sector which is yet to come. This paper will focus on generating various soundtrack by extracting pattern from various midi files (currently support mp3 as well) for finding patterns and applying algorithms, concepts of various fields such as Recurrent Neural Network (RNN). Our Aim throughout was so meeting as expectation high enough so even a non-expert (stating considering facts regarding deep learning and ML algorithms knowledge) should be able to generate a quality music (some nodes of music) using our software (Yet to be developed fully) and should be able function it without any pre-requisite. Now what we understand about as tunes in music? In short tunes are nothing but a sequence of nodes of instrument. Our input would be simple a sequence of musical nodes of instrument in our case that should be guitar. Our output would be new pattern of these nodes. some ways to generate tunes automatically using models, particularly a decent one music then it is a big leap in the world of music industry. we as a group here took some data freeware and trained our model. Summarization problems yet additionally for other comparative research such as music caption generation, machine translation or spoken dialogue generation.

Published
2021-07-16
How to Cite
Ankur Yadav , Dr.Jayakumar, Vaithiyashankar, A. Y. ,Mukul S. ,. (2021). QUANTUM ALGORITHM BASED MUSIC GENERATION USING QISKIT. Design Engineering, 3580-3590. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/2771
Section
Articles