Prepare to question your ability to distinguish between real and fake songs, as AI generated music pushes the boundaries of sonic creativity.
In this list, we present the top 5 songs crafted with the assistance of artificial intelligence. We have included songs that feature lyrics and/or music generated by AI.
As you immerse yourself in these captivating melodies, it begs the question: Are AI music generators the future of music?
In the news
The “AI: More than Human” project was a recent collaboration between the Barbican Centre and AI experts from the Google Arts and Culture Lab. The aim of the project was to explore the potential of AI in creating music and its implications for the music industry.
The 12 songs created by the AI were composed using a range 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.
Typically employed for crafting AI-generated songs, an AI music generator harnesses sophisticated algorithms and machine learning models to analyze extensive musical data, creating interesting melodies and harmonies.
5 examples of AI generated music
1. Savages – AllttA
A significant and controversial breakthrough in AI generated music revolves around its remarkable ability to emulate popular artists. One noteworthy example is the track “Heart On My Sleeve,” which sparked extensive discussions due to its uncanny resemblance to a collaboration between Drake and The Weeknd. The song comes from the duo AllttA, consisting of American rapper Mr. J Medeiros and French producer 20Syl.
In a surprising twist, listeners may detect a familiar voice trading lines with Medeiros, resembling that of the legendary rapper Jay-Z. However, it is important to note that Jay-Z did not contribute to this particular song.
Instead, AI was able to mimic his voice with astonishing accuracy, fooling listeners into believing it was the real thing.
Such tracks represent a pivotal moment for AI art in the realm of music, blurring the lines between human artistry and machine-generated content. This watershed moment raises intriguing questions about the future possibilities of A.I. in music and leaves us wondering about the uncharted territories it may venture into next.
2. Not Mine – Miquela
The rise of virtual musical stars fueled by A.I. has resulted in the emergence of celebrities who are treated as if they were real and living. One such notable figure is Miquela, a 19-year-old Instagram model who seems to reside in California, but in reality, exists purely in the digital realm. Think of her more as an AI robot.
Miquela was brought to life (figuratively) in 2016 by Trevor McFedries and Sara DeCou, co-founders of the startup Brud.
Similar to many influencers on social media, Miquela ventured into the realm of music. Her songs feature a captivating blend of manipulated vocals, compelling lyrics with a sense of defiance, and ethereal production, making them a seamless addition to any modern R&B playlist.
3. World is Mine – Supercell feat. Hatsune Miku
“World is Mine” is a popular piece of AI generated music released in 2008 by the Japanese music group Supercell, featuring the vocal synthesizer software Hatsune Miku.
The song quickly gained widespread popularity and became a notable example of utilizing 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 inputting lyrics and melodies, which are then sung by the virtual character Hatsune Miku.
“World is Mine” was written and composed by Ryo, the founder of Supercell, who is known for his distinctive blend of catchy melodies and emotionally driven lyrics. The song portrays a narrative from the perspective of a young, confident girl who believes she is the center of the world and demands the attention and adoration of others.
4. Daddy’s Car – Sony CSL Research Lab
“Daddy’s Car” is a song that was created by Sony Computer Science Laboratory (CSL) Research Lab in 2016. It is a remarkable example of a song composed entirely by an artificial intelligence (A.I.) system called FlowMachines.
The purpose of the project was to demonstrate the capabilities of A.I. in generating music that resembles popular music styles.
The FlowMachines system analyzes a vast database of existing songs and uses machine-learning algorithms to understand the patterns and structures of those songs. It then generates new compositions based on the learned information.
In the case of “Daddy’s Car,” the system was trained on a dataset of Beatles songs, aiming to create a song that captured the essence of the iconic band’s 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 typical subject matter and style of a Beatles song.
Although the song was created with an AI generator, it was performed by human musicians. In this particular instance, the vocals were provided by a professional singer, but the musical accompaniment was played by real musicians.
5. Break Free – 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 assistance of artificial intelligence (A.I.).
Taryn Southern collaborated with an AI art generator to create “Break Free.” The song was co-written and co-produced with Amper Music, an A.I. music composition platform. Amper Music utilizes machine learning algorithms to generate music based on user inputs and preferences.
To create “Break Free,” Taryn Southern provided the lyrical content and melody ideas, while Amper Music’s A.I. system helped with the composition, arrangement, and production elements of the song. The collaboration resulted in a unique blend of human creativity and A.I. assistance.
The potential of AI in music creation
AI-generated music has the potential to revolutionize the music industry in several ways. It could democratize music creation, allowing anyone with access to the technology to create their own music without the need for expensive equipment or formal training.
It could also help composers and musicians overcome creative blocks 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 assist with in various domains:
- Art: AI can generate visual art, including images, 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 generate aesthetically pleasing compositions.
- Writing: AI can generate text, such as essays, stories, poems, and even entire books. It can assist with content creation, language translation, and text summarization. Some AI models can mimic the writing style of specific authors.
- Film and Video: AI can aid in generating videos, special effects, and post-production tasks. It can automate processes like video tagging, scene recognition, and even generate synthetic actors or AI voices. AI algorithms can also create deepfakes, which are computer-generated manipulations of images or videos.
- Design: AI can assist in generating logos, product design, and architectural design. It can generate design options, optimize layouts, and provide creative suggestions. AI algorithms can analyze user preferences and generate personalized design recommendations.
- Gaming: AI can create game content, including characters, environments, and levels. It can generate non-player characters (NPCs) with realistic behaviors, develop procedural game worlds, and enhance game graphics. AI can also be used for game testing and optimizing game mechanics.
- Natural Language Processing: AI-powered language models can assist with language translation, chatbots, AI apps, and AI detectors. They can generate human-like responses, aid in 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 continually expanding, and it has the potential to impact numerous industries and domains in transformative ways.
These examples of AI provide a glimpse into the future of music. Whether AI-generated music will replace human creativity entirely remains to be seen, 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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