Music

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Leverage the power of artificial intelligence, specifically a kind of AI called Deep learning. Typically these tools have been trained on massive datasets of music, allowing them to identify patterns and recreate them based on your prompts.

Let's peel back the layers and explore the technical aspects of how these AI music generators work:

  • Deep Learning Core:
    • Architecture: All three likely utilize deep neural network architectures, specifically architectures suited for audio generation tasks like LSTMs (Long Short-Term Memory) or Transformers. These networks excel at capturing long-term dependencies within music data.
    • Training Data: The AI has been trained on colossal amounts of music data. This data encompasses various genres, instruments, and musical styles. The data is pre-processed, segmented, and fed into the neural network.
    • Learning Process: During training, the network learns to identify patterns and relationships within the music data. It can recognize how melodies progress, harmonies interact, and rhythms develop across different musical styles.
  • Text-to-Music Translation:
    • Text Encoding: When you provide a text prompt, it's converted into a numerical representation the AI can understand. This might involve techniques like word embedding, where each word is mapped to a unique vector based on its meaning and context within the prompt.
    • Conditional Generation: The encoded prompt acts as a condition for the music generation process. The AI leverages the prompt information alongside its knowledge of music patterns learned from the training data.
    • Music Generation Loop: The AI iteratively generates musical elements like notes, rhythms, and instrument timbres. At each step, it evaluates the generated sequence against the prompt and the learned music patterns, refining its output until a coherent musical piece emerges.
  • Beyond the Basics: While these are the core functionalities, there's likely more happening under the hood. These AI models might also incorporate techniques for:
    • Music Style Transfer: Transferring stylistic elements from a reference piece of music you provide.
    • Melody and Harmony Generation: Independently generating unique melodies and chord progressions that align with the prompt and genre.
    • Real-time Music Generation: Potentially enabling interactive music generation where the AI responds to user input in real-time.

Text-to-Song


Eleven Labs

ElevenLabs is launching a new artificial intelligence music generator complete with vocals, showing off a handful of impressive tracks on X to promote its upcoming launch. AI music has proved to be one of the fastest-growing areas of synthetic content so far this year with the first Suno track passing a million listens and Udio launching hyper-realistic vocals. Better known for its natural-sounding artificial voices and impressively accurate voice cloning, ElevenLabs has been slowly building out a range of AI noise features including sound effects. Music is currently in early preview, only accessible to ElevenLabs staff but the samples shared so far point to a quality that exceeds Udio across a wide range of genres.

Udio

Udio promises powerful creation tools and high-fidelity audio. It allows you to describe the kind of music you want through prompts, similar to giving instructions to a musical genie. Allows browsing music by genre and liking songs. Users can also create playlists. Some of the most popular tracks on Udio include "Lorem Ipsum Dolor Sit Amet" by SirBitesalot, "I Hate You With All Your Heart" by jakemarsh, and "My Man Sh*% In His Pants At Work" by Mitch Burger And The Fries.


Suno

Suno boasts a loyal following for its ability to craft impressive music in various styles. It excels at understanding your prompts and translating them into cohesive pieces.

"It’s one of the most popular AI music tools available. And more often than not, it’s my first choice when it comes to music creation. Suno allows you to input your own lyrics (or have ChatGPT write you some) and it lets you select the music style, which you can then customise.

That’s more than enough to create a decent AI song! If you’re looking to create unique compositions and experiment with different musical translations, this one’s ideal for you!", AI Andy

Music AI Sandbox

Music AI Sandbox tackles the world of music creation. This is a suite of new tools designed to provide a "playground" for musicians and creators. With text descriptions, you can generate instrumental sections from scratch, modify sounds in unique ways, and integrate these AI-generated clips into your own music compositions.


Stable Audio

Stable Audio is a music generation tool from Stability AI that uses latent diffusion to create high-quality, 44.1 kHz music for commercial use. Latent diffusion is a type of generative AI that works by gradually introducing noise into a latent representation of a desired output. The model then learns to remove the noise, resulting in a generated output that resembles the desired output. Stable Audio's latent diffusion architecture is conditioned on text metadata as well as audio file duration and start time. This allows the model to generate audio of a specified length and style, and to ensure that the generated audio is musically coherent. Stable Audio is still under development, but it has already been used to generate music for a variety of projects, including video games, films, and commercials. Here are some of the key features of Stable Audio:

  • High-quality music: Stable Audio can generate music that is comparable to the quality of human-composed music.
  • Control over the content and length: Users can specify the desired style, mood, and length of the generated music.
  • Ease of use: Stable Audio has a simple and intuitive web interface.
  • Commercial use: Stable Audio is designed for commercial use, and users can generate and download tracks for commercial projects.

Epidemic Sound

Bring your stories to life. Just add sound. Access the largest music and sound effects catalog of its kind, seen and heard over 2.5 billion times per day. With exclusive soundtracking tools and all rights included. Publish worry-free, worldwide. Get track suggestions based on frames within your content. For the perfect soundtrack, every time. Search for tracks with a similar tone and sound with SoundMatch, using your favorite riff, hook, drop, or bridge.

MusicLM


Google also shows off MusicLM's "long generation" (creating five-minute music clips from a simple prompt), "story mode" (which takes a sequence of text prompts and turns it into a morphing series of musical tunes), "text and melody conditioning" (which takes a human humming or whistling audio input and changes it to match the style laid out in a prompt), and generating music that matches the mood of image captions. ... MusicLM: Google AI generates music in various genres at 24 kHz | Benj Edwards - Ars Technica

Slow tempo, bass-and-drums-led reggae song. Sustained electric guitar. High-pitched bongos with ringing tones. Vocals are relaxed with a laid-back feel, very expressive.


OpenAI JukeBox AI


Drums

Siraj Raval

Making Music

  • Boomy AI ... select the genre, choose the mood, and create original songs in seconds

Neurorack

The first deep AI based synthesizer. We developed the first musical audio synthesizer combining the power of deep generative models and the compacity of Eurorack format; comes in many formats and more specifically in the Eurorack format. The current prototype relies on the NVIDIA Jetson Nano. The goal of this project is to design the next generation of music instrument, providing a new tool for musician while enhancing the musician's creativity. It proposes a novel approach to think and compose music. We deeply think that AI can be used to achieve this quest. The Eurorack hardware and software have been developed by our team, with equal contributions from Ninon Devis, Philippe Esling and Martin Vert.

Anyma

Anyma's LIVE Afterlife performances are a fascinating blend of music and cutting-edge AI technology, creating an immersive experience that is both visually and sonically captivating. The AI behind the show is responsible for generating real-time, generative visuals that are synchronized with the music, enhancing the overall atmosphere of the live performances. Anyma's Afterlife performances aren't just concerts; they're journeys into a world where music and cutting-edge AI collide. This innovative blend creates an immersive experience that's both visually stunning and sonically captivating.

Imagine a live show where the music paints the visuals. That's the magic of Afterlife. AI generates real-time graphics that dance in perfect sync with the music. Take "Simulation" by Anyma and Chris Avantgarde, for example. The AI analyzes the music's tempo, rhythm, and intensity, crafting visuals that flawlessly complement the sound. It's a dynamic experience that's never the same twice.

Matteo Milleri, one half of Tale of Us and the mastermind behind Anyma, takes things a step further by incorporating NFTs. These unique digital tokens come alive with AI visuals created by artists like Alessio De Vecchi. Forget pre-recorded clips; these visuals evolve alongside the music, adding a layer of unpredictable dynamism to the performance.


The goal? To transport the audience to a different reality. Deep techno beats merge with ever-evolving AI art, pushing the boundaries of music, art, and technology.


Behind this innovative concept lies Ben Heim, a master of real-time generative visuals. He utilizes a unique combination of software and hardware to create images that respond directly to the music. Imagine abstract shapes morphing and dancing in harmony with the beats – a captivating visual symphony that complements the sonic experience.

These mesmerizing visuals find their home on a massive 5000 square foot LED wall, transforming it into a canvas for AI-generated masterpieces. The synchronization between music, visuals, and this colossal display creates a unique journey for each audience member, making every Afterlife show an unforgettable experience.

Anyma's Afterlife performances showcase the power of AI in live entertainment. The technology creates an ever-evolving spectacle, blurring the lines between music, art, and technology. This innovative approach is a testament to the exciting future that awaits the intersection of these creative forces.


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