The Rise of AI-Generated Music: Viral Hits and the Ongoing Debate

by VideoTranslator Support| Aug 19, 2024

The music industry has always been at the forefront of technological innovation, and the advent of AI-generated music is no exception. AI is changing how music is made, produced, and enjoyed. While this technology introduces new possibilities and efficiencies, it also raises significant concerns about authenticity, creativity, and musicians' future. In this blog post, we will explore the impact of AI on the music industry, list popular AI music generators, highlight some viral AI-generated songs from 2023-2024, and delve into the ongoing debate between AI and human musicians.

How AI Adds New Element to the Music Industry

AI music generators utilise machine learning algorithms to analyse vast music datasets, identify patterns, and create new compositions. This technology can produce music quickly and in diverse styles, making it a valuable tool for artists, producers, and marketers. AI can assist in tasks such as generating background scores, creating unique soundscapes, and even writing lyrics. However, the rise of AI-generated music also raises questions about originality, copyright, and the role of human creativity in music.

Popular AI Music Generators

Amper Music

Amper Music creates music using a combination of pre-recorded samples and AI. Users can choose styles, moods, and instruments, and the AI will generate a composition based on these inputs. Amper Music offers an easy-to-use web-based interface, enabling users to create customised music without extensive knowledge of music theory or composition. Amper Music was founded in 2014 but has been acquired by Shutterstock in 2020.
MuseNet by OpenAI

MuseNet is a deep neural network that can generate 4-minute musical compositions with 10 different instruments. Having trained on data from MIDI files, MuseNet can combine styles from country to Mozart to The Beatles. MuseNet was first introduced in April 2019.
Suno

Suno is an AI music generator start-up developed by Anthropic, a company focused on creating AI technologies. Suno has been widely available since the end of 2023. It lets users transform their ideas into complete songs with singing, lyrics, and an album cover image. Like other AI music generators, Suno simplifies music creation by allowing users to enter prompts that specify the desired song style, feel, instruments, tempo, and content.
Udio

Another AI music generator that captures people's attention is Udio. It works like an AI art generator, requiring users to enter a prompt. By default, the song is generated as a 30-second track. However, Udio allows users to extend it with extra time and add intros and outros, with a maximum duration of 90 seconds.
AIVA (Artificial Intelligence Visual Artist)

AIVA provides a web-based platform where users can input parameters to generate music. It uses deep learning algorithms trained on a large dataset of classical music. Initially developed in 2016, AIVA undergoes continuous enhancement to compose music for various purposes, such as video games, commercials, and movies.
Soundraw

Soundraw offers an intuitive online platform for customising and downloading tracks. It leverages a combination of manual tools and AI technology to facilitate a seamless music creation and customisation experience. One of the standout features is its customisation option, which lets users tweak and refine their music. Free users can create music with the generator, but unlimited downloads are only available through a subscription plan.
Beatoven.ai

Beetoven.ai uses AI to compose music by analysing user inputs and creating customised tracks. In contrast to other AI music generators, Beethoven involves contributions from real artists in its training. Beatoven allows users to choose from eight genres and 16 moods, as well as the flexibility to make cuts and adjustments like some popular music editors.
Loudly

Loudly is an AI music generator that lets users choose a genre and their desired music length. It also includes an AI Recommender feature that suggests music based on the user's preferences, along with pre-made playlists for browsing. One of Loudly's most unique features is the ability to customise music directly to video, allowing users to sync the rhythm and pacing of the music with their visual project.
Boomy

Boomy provides an easy-to-use platform for creating songs with minimal effort. Its AI algorithms generate music based on user input, enabling users to customise and produce unique tracks. Users can select from predefined styles such as Electronic Dance, Rap Beats, lo-fi, and Relaxing Meditation or create custom styles tailored to their preferences. Boomy seamlessly integrates with popular streaming platforms like Spotify, Apple Music, YouTube, and TikTok, helping users reach a global audience.
Magenta Studio

Magenta by Google is an open-source project focused on using machine learning to create art and music. It offers tools for generating music and visual art, such as neural networks for composing songs and creating art pieces. The project integrates with platforms like TensorFlow, enabling easy experimentation and innovation. It also integrates with the popular digital audio workstation Ableton Live, allowing musicians to incorporate AI-generated elements into their compositions seamlessly.

Viral AI-Generated Songs in 2023-2024

“Heart on My Sleeve”
This track, created by TikTok user @ghostwriter977, mimics the voices of Drake and The Weeknd. It became a sensation before being taken down due to copyright issues.
“Hey There Delilah”
An AI rendition of the famous song “Hey There Delilah” in the style of Kanye West, demonstrating AI's ability to create unique covers.
“I Feel It Coming”
This song was an AI-generated version of The Weeknd's and Daft Punk's ‘I Feel It Coming’, with vocals that mimicked Michael Jackson. You can easily find this version on YouTube.
“Kill Bill”
A rendition of SZA’s “Kill Bill” was sung in the style of Ariana Grande, and it became popular among her fans.
“Daddy’s Car”
This song captures the public's attention as it sounds like the legendary band “The Beatles.” “Daddy’s Car” was composed by an artificial intelligence called Flow Machines, which uses a database of thousands of songs to study how different artists compose their music.
“How the Hell You Spell Chauffeur”
This catchy TikTok hit surprised many listeners who didn’t realise it was AI-generated. Its clever lyrics and engaging melody made it a viral sensation, leading people to believe it was a country song from the 1970s.

The Ongoing Debate: AI vs. Musicians

The rise of AI in the music sphere has sparked a heated debate about musicians' future. Proponents argue that AI can enhance creativity by providing new tools for artists and reducing the time spent on repetitive tasks. They believe AI can democratise music production, making it accessible to more people.

Critics, however, are concerned about the implications for originality and the livelihood of the musicians. There are fears that AI could lead to a homogenisation of music, as algorithms might favour certain patterns over truly innovative composition. Additionally, the legal and ethical issues surrounding copyright and the use of AI-generated music remain unresolved. Citing an article posted by the New York Times on May 11, 2024, many students argued that AI-generated music “would not have the emotional pull of music made by humans” and “could never replace the connection between musicians and their fans.”

Conclusion

AI-generated music is transforming the music industry, offering exciting new possibilities while also raising important questions. Viral hits like “Heart on My Sleeve” and “How The Hell You Spell Chauffeur” demonstrate AI’s potential to captivate audiences. However, the ongoing debate about the role of AI in music underscores the need to balance technological advancement with respect for human creativity and the rights of artists. As AI continues to evolve, its impact on the music industry will undoubtedly grow, shaping the future of music in ways we can only begin to imagine.

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References

Case Study Artificial Intelligence

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