What Is AI Generated Music? Best Music Tools for 2024

March 16, 2024

If Beethoven were alive to hear his 10th symphony composed by artificial intelligence, he would have tears in his eyes.

The rise of AI-generated music has refined music production in many ways. Whether simulating lyrics, vocals, or instrumental sequences, AI’s efficiency has outshined traditional music-making processes.

With the rise of AI, producers, and directors are leaning on synthetic media software to modulate and adjust audio pitches, edit music, and compose albums without explicit tools, singers, and songwriters. 

Before you pick up your guitar pick and start grooving to new chords, learn how the entire process can be automated with AI.

AI music generator works across diverse genres, from melodic to pop to old rock, and sustains old patterns to recreate newer chords. All a user has to do is enter the genre of the music track, and the algorithm works to produce harmonic repetition, temporal range, pitch, and notes and sync it with external instruments.

How does AI-generated music work?

AI-generated music is an emergent technology created with artificial intelligence algorithms that mimic music tracks' exact tempo, pitch, and range to create new songs. It takes an input prompt describing desired emotions (happy, sad, melodic, or 1980s vibe) or genre (alternative rock, pop, or EDM) and tinkers with data to produce songs.

The AI platform scrapes large volumes of data off music streaming sites, like Spotify or Apple Music, to study the creative processes of songwriting and audio direction. It analyzes this data and trains on a supervised algorithm containing existing chapters, chords, vocals, and melodies. By using music information retrieval techniques and generative music theory, it can also emulate artist impressions and create illustrations or 3D models to be included in AI-generated videos or visuals. 

In most cases, the sound of a bass guitar, modes, and drums are recreated using AI platforms. These can be isolated or put together per the musician's operatic flows.

AI platforms can also compose songs, train their datasets on the voices of famous singers, and replicate their pitch and voice densities.

What are AI-generated vocals?

AI music generators have been fed vocals of lead singers like Drake, Eminem, and Ariana Grande to train the algorithms. The audio datasets reverberate and create newer vocals that sound like these artists but are AI-generated. By constantly learning and training on voice datasets, AI platforms have been able to create artificial vocals or voices for their songs.

Examples of AI-generated music

For an untrained eye, distinguishing between original and AI-generated tracks is impossible. Although AI is prone to composing quality and gibberish music, it's getting much attention.

Let’s look at some interesting AI renditions :

  • Heart On My Sleeve: "Heart On My Sleeve" is an AI-generated single that uses the cloned voice of Drake, the famous singer and rapper, and Weeknd, a famous pop singer. The song has been created by the artist Ghostwriter and uploaded on streaming platforms like YouTube, Apple Music, etc. Recently, all streaming services have taken down the track due to Universal Music Group’s allegations.
  • Beethoven: Beethoven’s tenth classical symphony was completed with artificial intelligence and premiered in 2021. The musicologists, composers, and directors at Harvard, Bonn, and Vienna brought the masterpiece to life. The AI model was fed incomplete music sketches and previous song composition data and trained on it to complete the sequence
  • Metallica: AI platforms like the Midjourney bot have been able to visualize the sentiments of metal songs. For the song “Enter Sandman” by Metallica, Midjourney was able to generate emotional visuals which captured the intent of the song and made it more appealing to audiences.
  • Ariana Grande: A twin modulation of Ariana Grande’s voice has been raging the internet. The replication has been programmed using deep learning models that trained on hours and hours of audio recordings and vocals of Ariana Grande.

AI-generated music case study: UMG and Drake 

While AI-generated music continues to get positive attention, record labels like Universal Music Group (UMG) have exerted their copyright on Drake's contract. Drake and UMG entered into a $400 million contract in 2021. As the AI composition of Drake’s songs surfaced online, UMG grew concerned about the consequences. In the future, many such AI songs will emerge and be uploaded to streaming platforms, thus skewing UMG's revenue streams.  

However, UMG came around to AI-generated music, eventually. Now, they have collaborated with Endel, a calming AI soundscape platform, to give a soft touch to soundtracks. 

UMG allows the platform to access its streaming audio and video data for a share in the royalty distribution. Michael Nash, their executive VP and chief digital officer, said, "At UMG, we believe in the incredible potential of ethical AI to support the creativity of our artists, labels, and songwriters."

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Benefits of AI-generated music

Music creation and direction are for experts. With AI-generated music and deep learning technology, this art became accessible to all. A few of the benefits are:

  • Build original music tracks: As AI platforms do not violate digital rights management laws, businesses can use them to create musical teasers and commercial audio.
  • Overcoming art block: Singers and musicians can use scientific progressions to create melodies and overcome their difficulties while making new music.
  • Enhanced listening quality: As the AI model analyzes the structure, pattern, and lyrics of music being fed to it, the resulting output quality can get better with time.
  • Diverse genres: AI-music generators can build tunes for various genres, moods, and personas of music.
  • AI-generated audio and support: The platform generates beats and standard harmonic melodies and generates relevant artwork, illustrations, 3D models, AI vocals, and expressions of music artists.
  • Cost-effective: With the free plans of AI music generators, you can orchestrate, customize and upload songs. Compared to singers who charge a fortune or musicians who require expensive studio setups, AI music generators save the day.

Challenges with AI-generated music

AI music generators are being implemented globally as a cheaper alternative for song creation projects. However, challenges stand in the way of the mass adoption of AI-generated music. 

  • Lacks creativity: AI music lacks creativity, uniqueness, and depth because it is generated through neural networks trained on existing data.
  • Limited listening audience: Due to missing human elements, not a lot of people listen to AI covers or AI music tracks. Music producers, AI experts, and developers are trying hard to bring  “emotional” and “creative” elements into AI music.
  • Not reliable: Due to the continuous learning curve of algorithms, the songs produced are part good and part gibberish. It can be used as a supporting tool to construct melodies and cannot replace music producers.
  • Slow adoption: Though a few artists have collaborated with AI creators to release music, most are still against it.
  • Royalty charges: Artists that allow AI platforms to train on their vocals and lyrical compositions charge a commission from the total royalty distribution and sales.

Best AI-generated music tools

Free versions of AI-generated tools help you compose 30-minute or 45-minute backing tracks, customize them, and share them without digital rights infringement. The platform only learns the structure and pattern of the music from audio data and uses it to generate gripping tracks.  

Here are a few AI-generated music tools that render AI music for free:

1. Beetoven.ai

Beetoven.ai uses advanced AI generation to build mood-based tracks and customize your songs per your theme, persona, and strategy. With exclusive features of song plugins, cut, drop, adjust instruments, and change genres and moods, it personifies the music experience for you and your brand. 

Beetoven.ai is a royalty-free distribution platform where you can customize and download newer tracks without worrying about revenue to original creators. The free trial of the software allows you to work on unlimited music projects and download fifteen songs monthly.

2. Soundful

Soundful takes pride in producing affordable AI music, which can help satiate your creative instincts. You can add and edit your soundtracks on Soundful and let the AI music generator compose noteworthy vocals and pitches. Under the global tracks section, you can view different AI-generated tracks sorted as per moods, genres, time of the day, and billboard artists.

The free plan of Soundful comprises 50 musical templates, 10 downloads a month, unlimited track creation, social media use (uploading on only one channel per platform), and one stem download

What is a stem?

Stem is a base or raw music data file which isolates different sounds from a soundtrack, so the creator can put their style on it and make it their own. Stem can be broken down into one single chord, key, or note, which can be arranged into different musical compositions. 

3. Boomy

Boomy is a reverb and sound mixing platform that can patch audio from different singers and bands into a single musical file. It helps you create lo-fi, calming, relaxing, and reverb beats, produce unique playlists, and distribute them on your own platform.

You can add sound density, sound effects, and momentary pauses with Boomy. Users also have the option of generating “text-to-music” prompts. Boomy claims to have created over 14,443,619 songs, roughly 13.83% of the world’s recorded music. Boomy’s free version, known as Boomy Free, allows users to save up to five albums and song releases without a royalty charge.

4. AIVA

AIVA has different features that users can avail to compose their playlists. With the generation feature, you can set stabilizers, add time signatures, add keynotes, harmonic repetition, and percussions. Once the AI track is generated, save it in the public profiles library. Or you can choose from preset genres of rap, hip-hop, jazz, or alternative rock and add your spin in terms of lyrics, backing vocals, and pitch.

In AIVA, if users wish to pick an influence, they can do it from Mussescore, a place to create sheet music. The free plan of AIVA allows three free downloads with a duration of up to three minutes. Users cannot share and capitalize on songs on music distribution platforms as AIVA copyrights them.

5. Riffusion

Riffusion is a text-to-music AI platform that accepts user input to build spectrograms, a visual representation of signals and frequencies. The mechanism is based on Stable Diffusion, an AI image generator. Based on this information, Riffusion composes unique songs, instrumental interludes, and programmed vocals.

Riffusion can be used to create any kind of music cadence across different genres and moods. For example, prompts can be “best Slash guitar solo for a chapel wedding,” or “Cuban salsa in the 80s,” or “lyrics inspired by Chris Cornell’s life.”

6. Moises

Moises is an online AI audio editor and generator that accepts user prompts and converts them into output. Users can play along with the instrumental interlude created with Moses and find relevant chord progressions to create complete musical tracks.

Moises is a free platform that can be accessed by musicians worldwide. With a user-friendly audio interface and easy usability, it is known to create flowy and uninterrupted tones.

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Future of AI-generated music

Music distribution platforms like Apple Music and Spotify are investing in AI tools to author their music. Instead of distributing songs produced by other artists and label groups, these platforms are set to change their app interface and make it more suggestive and personalized to their audiences. 

However, with the increasing popularity, a question looms: Is AI music legal?

The question has been a part of many debates over the years. While no one can stop AI creators or music distribution platforms from using tech to earn dollars, a copyright claim or legal filing may shut their business entirely.  

Even with legal concerns, music creators will continue using AI to perfect their symphonies. Over time, AI tools would get access to more facts and structures that will make their craft better.

Soundcheck 1, 2, 3

With AI-generated music, your dependency on a lot of cost-bound musical tools would reduce. It would make music production leaner, tech-friendly, and fast. The future of music is bright and creative, with AGI sensors replacing manual production setups to generate self-aware, creative, and empathetic music.

Learn how AI is shaping up the future of writing for centuries to come and setting a new precedent for world-class content in the world of business. 

synthetic media software Tune in to the world of music creation!

Mix and match different chords, strings, and vocals, and create your own music samples with synthetic media software.

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Shreya Mattoo Shreya Mattoo is a Content Marketing Specialist at G2. She completed her Bachelor's in Computer Applications and is now pursuing Master's in Strategy and Leadership from Deakin University. She also holds an Advance Diploma in Business Analytics from NSDC. Her expertise lies in developing content around Augmented Reality, Virtual Reality, Artificial intelligence, Machine Learning, Peer Review Code, and Development Software. She wants to spread awareness for self-assist technologies in the tech community. When not working, she is either jamming out to rock music, reading crime fiction, or channeling her inner chef in the kitchen. https://learn.g2.com/hubfs/Copy%20of%20G2%20Image%20(1).png https://www.linkedin.com/in/shreya-mattoo-a20674170/