Music Generation and Song Popularity Prediction using Artificial Intelligence - An Overview

This article presents an overview of the first AI-human collaborated album, Hello World, by SKYGGE, which utilizes Sony’s Flow Machines technologies. This case study is situated within a review of current and emerging uses of AI in popular music production, and connects those uses with myths and fears that have circulated in discourses concerning the use of AI in general, and how these fears connect to the idea of an audio uncanny valley. By proposing the concept of an audio uncanny valley in relation to AIPM (artificial intelligence popular music), this article offers a lens through which to examine the more novel and unusual melodies and harmonization made possible through AI music generation, and questions how this content relates to wider speculations about posthumanism, sincerity, and authenticity in both popular music, and broader assumptions of anthropocentric creativity. In its documentation of the emergence of a new era of popular music, the AI era, this article surveys: (1) The current landscape of artificial intelligence popular music focusing on the use of Markov models for generative purposes; (2) posthumanist creativity and the potential for an audio uncanny valley; and (3) issues of perceived authenticity in the technologically mediated “voice”.

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Artificial intelligence methods for music generation: a review and future perspectives

Nature-Inspired Computation and Swarm Intelligence ◽

10.1016/b978-0-12-819714-1.00024-5 ◽

2020 ◽

pp. 217-245

Author(s):

Maximos Kaliakatsos-Papakostas ◽

Andreas Floros ◽

Michael N. Vrahatis

Keyword(s):

Artificial Intelligence ◽

Future Perspectives ◽

Artificial Intelligence Methods ◽

Music Generation

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Asurvey on automatic music generation

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i2.8.10555 ◽

2018 ◽

Vol 7 (2.8) ◽

pp. 677

Author(s):

Shubham Jain ◽

A Pandian

Keyword(s):

Artificial Intelligence ◽

Foreign Language ◽

Computer Program ◽

New Music ◽

Easy Task ◽

Present Writing ◽

Music Generation ◽

Human Skills ◽

Automatic Music Generation ◽

Music Lyrics

Just like you should not watch a foreign language movie without its subtitles, identically you should not listen to music without its lyrics Music lyrics are words that combine to produce a song in harmony. Usually the music lyrics that we normally listen to are human written and no machine involvement is present. Writing music has never been a easy task, lot of challenges are involved in this because the music lyrics need to be meaningful and at the same time it needs to be in harmony and sync with the music being played over it . They are written by great artist who have been writing music lyrics for years. This project tries to automate the process of music lyrics generation using computer program which we produce lyrics and reduce the burden on human skills and can generate new music lyrics and a very faster rate than humans ever can. This project also aims toward the merge of human and artificial intelligence.

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Intelligent Technique for Automating the Conversion between Major and Minor Melodies

Future Computing and Informatics Journal ◽

10.54623/fue.fcij.4.2.2 ◽

2020 ◽

Vol 4 (2) ◽

pp. 67-78

Author(s):

Nermin Naguib J. Siphocly ◽

◽

El-Sayed M. El-Horbaty ◽

Abdel-Badeeh M. Salem ◽

◽

...

Keyword(s):

Artificial Intelligence ◽

Musical Scale ◽

Music Retrieval ◽

Intelligent Technique ◽

Processing Step ◽

The Social ◽

Major Scale ◽

Challenging Research ◽

Music Generation ◽

Scale Detection

Nowadays, computers are extremely beneficial to music composers. Computer music generation tools are developed for aiding composers in producing satisfying musical pieces. The automation of music composition tasks is a challenging research point, specially to the field of Artificial Intelligence. Converting melodies that are played on a major scale to minor (or vice versa) is interesting to both composers and music listeners. Newly converted melodies of famous songs, either from major to minor or the opposite, are becoming blockbusters on the social media. In this paper we propose an intelligent method for automating the conversion between major and minor melodies using Artificial Intelligence techniques. We run our experiments on melodies in the MIDI format which is a standard music format enabling the communication between computers and various musical devices. We also propose a smart method for musical scale detection for the input melodies. Scale detection is a critical step for correctly converting between major and minor melodies. Additionally, this step is also important as a pre-processing step in various other music retrieval or transformation applications.

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The Ai Music Generation Challenge 2020: Double Jigs in the Style of O'Neill's ``1001''

Journal of Creative Music Systems ◽

10.5920/jcms.950 ◽

2021 ◽

Author(s):

Bob Sturm ◽

Hugo Maruri-Aguilar

Keyword(s):

Artificial Intelligence ◽

Traditional Music ◽

Artificial System ◽

Music Generation

The Ai Music Generation Challenge 2020 had three objectives: 1) to promote meaningful approaches to evaluating artificial intelligence (Ai) applied to music;2) to see how music Ai research can benefit from considering traditional music, and how traditional music might benefit from music Ai research; and 3)to facilitate discussions about the ethics of music Ai research applied to traditional music practices.There were six participants and a benchmark in the challenge, each competing to build an artificial system that generates the most plausible double jigs, as judged against the 365 published in solved'', but that the evaluation of such systems can be done in meaningful ways.The article ends by reflecting on the challenge and considering the coming 2021 challenge.

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