
Prepare to question your ability to distinguish real songs from fake ones, as AI-generated music pushes the boundaries of sonic creativity.
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In this list, we present the top 5 songs crafted with the help of artificial intelligence. We have included songs that have AI generated lyrics and/or music.
As you indulge in these captivating melodies, the question arises: Are AI-powered music generators the future of music?
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The “AI: More Than Human” project was a recent collaboration between the Barbican Center and AI experts from the Google Arts and Culture Lab. The goal of the project was to explore the potential of AI in music creation and its implications for the music industry.
The 12 AI-generated songs were composed using a combination of different techniques, including generative adversarial networks (GANs) and recurrent neural networks (RNNs). The songs were then arranged and produced by a team of human musicians who added their own creative touches to the AI-generated compositions.
Usually used in crafting AI-generated songs, the AI Music Generator uses complex algorithms and machine learning models to analyze extensive musical data, creating interesting melodies and harmonies.
5 examples of music generated by artificial intelligence
1. Savages – Alta
A major and controversial breakthrough in AI-generated music revolves around its remarkable ability to emulate famous artists. One noteworthy example is the track “Heart On My Sleeve,” which has sparked extensive discussion due to its uncanny resemblance to a collaboration between Drake and The Weeknd. The song comes from the duo AllttA, composed of American rapper Mr. J Medeiros and French producer 20Syl.
In a surprising twist, listeners may discover vocal trading lines familiar to Medeiros, similar to those of legendary rapper Jay-Z. However, it is important to note that Jay-Z did not contribute to this particular song.
Instead, the AI was able to mimic his voice with amazing accuracy, fooling listeners into thinking it was the real thing.
Tracks like these represent a pivotal moment for AI art in the music world, blurring the lines between human art and machine-generated content. This watershed moment raises intriguing questions about the future possibilities of AI in music and leaves us wondering what uncharted territory it might venture into in the future.
2. Not mine – Michaela
The emergence of virtual music stars fueled by artificial intelligence has resulted in celebrities being treated as if they were real and live. One such celebrity is Miquela, a 19-year-old Instagram model who appears to reside in California, but is actually only in the digital realm. Think of it more as an artificial intelligence bot.
Miquela was resurrected (figuratively) in 2016 by Trevor McFedries and Sara Deco, co-founders of startup Broad.
Similar to many social media influencers, Miquela has ventured into the world of music. Its songs feature a captivating blend of manipulative vocals, catchy lyrics with a sense of challenge, and ethereal production, making it a seamless addition to any modern R&B playlist.
3. The world is mine – Supercell work. Hatsune Miku
“The World Is Mine” is a popular AI-generated piece of music released in 2008 by Japanese music group Supercell, featuring vocal mixing software Hatsune Miku.
The song quickly gained widespread popularity and became a prominent example of the use of virtual idols and vocaloid technology in the music industry.
Hatsune Miku is a virtual pop star created by Crypton Future Media, using Yamaha Corporation’s Vocaloid software. Vocaloid technology allows users to create songs by entering lyrics and melodies, which are then sung by the virtual character Hatsune Miku.
“World is Mine” was written and composed by Supercell founder Ryo, who is known for his signature blend of catchy melodies and emotionally impactful lyrics. The song depicts a story from the perspective of a confident young girl who believes she is the center of the world and requires the attention and adoration of others.
4. Daddy’s car – Sony CSL Research Laboratory
“Daddy’s Car” is a song created by the Sony Computer Science Laboratory (CSL) research lab in 2016. It’s a great example of a song composed entirely by an artificial intelligence (AI) system called FlowMachines.
The purpose of the project was to demonstrate the capabilities of artificial intelligence in producing music that resembles popular music styles.
The FlowMachines system analyzes an extensive database of existing songs and uses machine learning algorithms to understand the patterns and structures of those songs. Then it creates new combinations based on the information learned.
In the case of “Daddy’s Car,” the system was trained on a data set of Beatles songs, with the goal of creating a song that captures the essence of the band’s famous music.
The song “Daddy’s Car” was specifically composed by FlowMachines, and the lyrics were written by a human collaborator, Benoit Carré. The lyrics were designed to reflect the theme and style of a typical Beatles song.
Although the song was created with an AI generator, the song was performed by two musicians. In this particular case, the songs were provided by a professional singer, but the accompanying music was played by real musicians.
5. Emancipation – Taryn Southern
“Break Free” is a song released in 2017 by Taryn Southern, an American singer-songwriter, digital storyteller, and content creator. The song gained attention as it was composed with the help of artificial intelligence (AI).
Taryn Southern teamed up with AI art creator to create “Break Free”. The song was co-written with Amper Music, an AI music composition platform. Amper Music uses machine learning algorithms to create music based on user inputs and preferences.
To create “Break Free”, Taryn Southern provided the lyrical content and melody ideas, while Amper Music’s AI system assisted with the song’s composition, arrangement, and production elements. The collaboration resulted in a unique combination of human creativity and the help of artificial intelligence.
The potential of artificial intelligence in creating music
AI-generated music has the potential to revolutionize the music industry in a number of ways. It can democratize music creation, allowing anyone with access to technology to create their own music without the need for expensive equipment or formal training.
It can also help composers and musicians overcome creative blockages by generating new ideas and inspiring new directions.
What else can you create with AI?
AI has a wide range of applications beyond music. Here are some examples of what AI can create or help with in different areas:
- art: AI can create visual arts, including photos, paintings, drawings, and portraits. AI art generators from text can create original pieces or replicate the styles of famous artists. AI algorithms can analyze patterns and create aesthetically pleasing compositions.
- writing: The AI can generate texts, such as essays, stories, poems, and even entire books. It can help with content creation, language translation, and text summarization. Some AI models can mimic the writing style of specific authors.
- Film and video: AI can help with video creation, special effects, and post-production tasks. It can automate processes such as video tagging, scene recognition, and even creating artificial actors or AI voices. AI algorithms can also create deepfakes, which are computer-generated manipulations of images or videos.
- design: AI can help create logos, product design, and architectural design. It can create design options, improve layouts, and make creative suggestions. AI algorithms can analyze user preferences and generate personalized design recommendations.
- the games: Artificial intelligence can create game content, including characters, environments, and levels. It can create non-player characters (NPCs) with realistic behaviors, develop procedural game worlds, and improve the game’s graphics. AI can also be used to test games and improve game mechanics.
- natural language processing: AI-powered language models can help with language translation, chatbots, AI applications, and AI detectors. They can create human-like responses, help with customer support, and enable voice-controlled applications.
These are just a few examples of what AI can create or contribute to. The applications of AI are constantly expanding, and have the potential to impact many industries and fields in transformative ways.
Final thoughts
These examples of AI offer a glimpse into the future of music. It remains to be seen if AI-generated music will completely replace human creativity, but for now, it’s clear that AI-generated music has the potential to be a powerful tool for musicians and composers.

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