Thousands of Staff-Picked Royalty-Free Music Tracks for Streaming, Videos, Podcasts, Commercial Use and Online Content
Along with the prompts (see the photo above for an example), I also have control over melodic patterns, creativity, tempo, and that’s about it. Not to be outdone by their Big Tech rival, Meta (formerly known as Facebook) have released their own AI music generator called MusicGen. “We think MusicGen can turn into a new type of instrument — just like synthesizers when they first appeared,” the company said in a blog.
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)
These networks process information in layers, with each layer extracting and transforming features from the input data. For instance, in the context of images, neural networks can detect edges, shapes, and more complex patterns, allowing them to create realistic images and art. But this didn’t stop music startup LifeScore from partnering with Bentley to create an AI model that can compose a soundtrack based on your driving style. Your journey will become highly personalized in real time as the soundscape responds to how and where the car is being driven. The AI music generation has brought about a transformative shift in how music is composed and created. AI enriches the creative panorama from platforms like Amper Music and AIVA that help musicians craft melodies and harmonies to tools like Humtap and MuseNet that allow innovative composition methods.
Music made by AI has no boundaries
The Copyright Office has also rejected an artist’s bid for copyrights on images generated through the AI system Midjourney despite the artist’s argument that the system was part of their creative process. Under the AI Act, generative AI models need to adhere to transparency requirements. This means disclosing that content is generated by AI, preventing models from generating illegal content, and publishing summaries of copyrighted training data. Generative AI is the technology to create new content by utilizing existing text, audio files, or images. With generative AI, computers detect the underlying pattern related to the input and produce similar content. This is in contrast to most other AI techniques where the AI model attempts to solve a problem which has a single answer (e.g. a classification or prediction problem).
![generative music 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VEED’s AI Music Generator enables you to create music that evokes emotions, enhances storytelling, and captivates your audience from start to finish. Musico’s engines blend traditional and modern machine learning algorithms to generate endless streams of copyright-free music in a wide variety of styles. The top-level prior models the long-range structure of music, and samples decoded from this level have lower audio quality but capture high-level semantics like singing and melodies. The middle and bottom upsampling priors add local musical structures like timbre, significantly improving the audio quality. Style transfer is a technique that uses Generative AI to combine the content of one image with the artistic style of another. By separating and recombining content and style features in neural networks, this approach allows the creation of visually captivating and unique artworks.
ways to use generative AI in your music production
Cem’s work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School. Gen AI is not about replacing human creativity, but rather enhancing it. Human-AI collaboration is becoming increasingly important as creators team up with AI to amplify their imaginative capacities.
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The one that made the cut is in the clinical trial being used on flesh and blood humans we see today. The most hampering being that a simple 3-minute song a band of humans can easily memorize has just way too many variables for a computer. Coding leverages programming and auto complete functionalities to speed up the development process and improve code quality. AI can assist in bug detection, offering solutions and even generating personalized code snippets tailored to the user’s requirements. Simply input your commands and Loudly will do the rest, delivering unique AI music results every time.
Discovering and creating drugs
Veed is a great piece of browser software with the best team I’ve ever seen. Veed allows for subtitling, editing, effect/text encoding, and many more advanced features that other editors just can’t compete with. Keep in mind that this a browser editor we’re talking about and the level of quality that Veed allows is stunning and a complete game changer at worst.
Don’t wait—create, with generative AI – McKinsey
Don’t wait—create, with generative AI.
Posted: Thu, 24 Aug 2023 00:00:00 GMT [source]
The synergy between human intuition and AI’s data-driven insights can lead to astonishing results. While the above models mostly enhance the work humans were already doing rather than outright replacing it, it may be wise to keep tabs on how generative AI is being used in your own industry. “Powered by artificial intelligence, NPCs in the game will be more lifelike. And every action genrative ai taken by players may have an impact on the game plot, the open world’s order, and NPCs‘ endings,” the game developer said in a statement that announced the game’s June 30th release date. We all play an imaginary soundtrack in our heads to accompany us as we’re running errands, right? Or maybe you’re using a pair of the best headphones to give your playlists the sound they deserve.
Hear Musico in action
In the meantime, Google is also rolling out the Search Generative Experience (SGE) so that it might answer search queries directly using AI — particularly, lucrative queries about buying things. In fact, almost every SGE demo Google has ever given has ended in a transaction of some kind. Akhil Tolani, who has made apps like the music collaboration app Rapchat, has launched CassetteAI, which is available on the web and App Store both. Bauman said he built the app because there are few simple and mobile native text-to-music solutions around which there are not spammy tactics used to draw subscription money. Build your song formulaSelect genre, duration, energy and instruments to make your song unique. I’ve also never had to skip through ads while listening to music—make of that information what you will.
- This is in contrast to most other AI techniques where the AI model attempts to solve a problem which has a single answer (e.g. a classification or prediction problem).
- Don’t tell Spotify, but I’ve found Samplette’s algorithm way better at finding fresh music.
- Loudly’s AI Music Generator delivers high-quality songs and stems that are unique to you.
- Most of these tools are much simpler to use than ChatGPT, Midjourney, and some of the other models we’ve written about previously.
By generative artificial intelligence (AI) we mean algorithms that can create new content – be it text, audio, video, graphic designs and more. While it’s still too early to accurately predict the future, the pace of advancements in AI models has been impressive to say the least. Some of these applications have proven they have what it takes to change the way entire companies do business. Data augumentation is a process of generating new training data by applying various image transformations such as flipping, cropping, rotating, and color jittering. The goal is to increase the diversity of training data and avoid overfitting, which can lead to better performance of machine learning models.
What are the benefits of Generative AI?
Sure, most of its training data is from 2021 and earlier, but this isn’t a big issue as there’s a plethora of great tunes to choose from that predate even the 21st century. As you’ll see below, I asked it for five samples with similar vibes to Tijuana Brass. Generative AI has taken the internet by storm with its ability to spit out images and blobs of text based on user queries. Despite widespread hysteria that artificial intelligence will make most of our jobs irrelevant, it could actually streamline the workflow for plenty of professions—including music production. We see the AudioCraft family of models as tools for musicians and sound designers to provide inspiration, help people quickly brainstorm and iterate on their compositions in new ways. Imagine a professional musician being able to explore new compositions without having to play a single note on an instrument.
![generative music 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)
AI Music Generation refers to using artificial intelligence (AI) techniques to generate music. It involves training algorithms on large datasets of existing music to analyze patterns, structures, and styles. Once trained, these algorithms can generate authentic musical compositions, ranging from melodies and harmonies to complete tracks, often without direct human intervention. The AI music generation can enhance musical creativity, help composers and producers, and contribute to exploring novel musical ideas.
AI in Music: Generative Music, Deepfakes, and More – The Hype Magazine
AI in Music: Generative Music, Deepfakes, and More.
Posted: Wed, 09 Aug 2023 07:00:00 GMT [source]