How AI generates music in minutes with text prompts

UniMoE-Audio: Unified Speech and Music Generation with Dynamic-Capacity MoE AI That Can Sing and Compose Music in One Go Ever imagined a single computer program that can both talk like a friend and compose a catchy tune? Scientists have built such a system, called UniMoE‑Audio, that blends speech and music generation into one smart AI. This breakthrough means future apps could let you chat with a virtual assistant that also writes background scores for your videos, all without juggling multiple programs. Imagine the possibilities for creators, educators, and anyone who loves sound. Read article comprehensive review in Paperium.net: UniMoE-Audio: Unified Speech and Music Generation with Dynamic-Capacity MoE 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes. https://lnkd.in/g3qbmd-2

So simple use cases for AI on a personal/business level beyond the technology would be to solve a business problem. One area to address is small business. Since I participate in that area a lot especially in a highly competitive and margin sensitive area I follow the idea that anything that makes my life easier and makes the business better is worth it. Background music is one of those elements. It adds to ambiance for small businesses in the same way it works for individuals the right music helps everyone settle in the wrong music can create a sense of discord. Enter AI. One of the best and worst things here is that AI can really help create music. I do not mean silly low-quality midi, I mean high quality music. This helps small business in that a business does not need to pay high licensing fees. In fact through AI we can make "good enough" music that a) does not have to pay studio fees for, b) a small business can own which opens up a lot of avenues for additional revenue streams not just cost savings, c) and can be tailored for specific needs. Services like suno.com (https://suno.com) are perfect for the non-technical; accessible pricing, minimal friction to use and adopt, and lots of flexibility (maybe a tad much) for small business owners to use. The best part? Currently the terms of creative outcomes are great: be on a paid tier, you own the output. Creative enough? You might be even able to obtain a copyright (not that most small business owners fit into this). On a personal level I use suno to create my own playlists of music. I do pay artists if I like them, but why hunt for music I like when I can make my own? All technology aside the use of AI services can really help a lot of areas so long as individuals are willing to learn and be open-minded. There is still some "brass tacks" approach here: you have to do research on the licensing terms (still have to read it no matter what AI says), you still have to listen to the output to see if it fits, and you still have to organize it. For small businesses especially ones with multiple operating sites, having your own private library that you own is really worth the effort. Now being in tech, I have created a series of automated workflows to generate content. It still requires the human-in-the-loop to review and listen to the output but the cost savings has been tremendous on a monthly basis. Similar approaches can be taken outside of small business to the enterprise and that is what is very exciting about the capabilities of AI-services like Suno.com. For anyone to be successful you have to look for the opportunity in any situation. Small businesses, enterprises, and individuals are all in the same boat. Sitting on the sides, not taking action, not doing the basic "brass tacks" legwork is more necessary now with AI capabilities than it ever has been. In case you wondering can make simple songs like this one https://lnkd.in/dMzNAeJH.

OpenAI is developing AI tools to generate music from text and audio prompts, including capabilities such as adding guitar accompaniment to vocal tracks. https://lnkd.in/dF2hdArC

OpenAI is reportedly developing a new generative music tool. The tool aims to create music from text and audio prompts, potentially adding music to videos or guitar accompaniment to vocal tracks. OpenAI is collaborating with The Juilliard School students to annotate scores for training data. Read more here: https://lnkd.in/esGmmEcQ 📨 Subscribe to one of our AI Newsletters: https://lnkd.in/eyGr2uhM #ai #artificialintelligence #ainews

AI innovation is transforming the music landscape, expanding creative access while intensifying debates around originality and ownership.  OpenAI is reportedly developing a tool that can create music from text or audio prompts, allowing users to add soundtracks to videos or generate instrumental accompaniments. If confirmed, this would position OpenAI alongside platforms like Suno and Udio, which have drawn both excitement and controversy over their AI-generated tracks and copyright implications. 👉 Explore how generative AI impacts music creation and creativity in this article by Doron Fagelson, SVP at DataArt Media & Entertainment: https://lnkd.in/ePmvHxST #DataArt #DataArtMedia #AI #GenerativeAI #MusicTech #Innovation #OpenAI #Suno #Udio #MediaAndEntertainment 

U.S. Consumers Vehemently Oppose AI Music, Survey Finds U.S. consumers vehemently oppose AI music and strongly prefer media made by humans, according to a new survey. https://lnkd.in/ezCNY3vp

For decades, music lived inside finished products… albums, cues, sample packs, stems. A creative output. A final destination. But today, music has a second life: It becomes training data. That shift is massive, and it completely changes what it means to create, license, and protect the work that powers our future technology. If AI is going to play a role in music, then the journey from studio → dataset has to be handled with the same care as studio → streaming. The same respect for contributors. The same transparency around rights. The same accountability when things go wrong. As creative work becomes dataset work, we need better documentation, better protection, and better visibility into the chain of rights. Not to slow innovation down, but to protect it. We published a short piece on how the industry can start making that shift: Studio → Dataset This isn’t just a compliance issue. It’s how we build trust in the next generation of music technology. https://lnkd.in/eQsMxSj2

Very interesting development. This could lead to Deezer's AI detection tool becoming a de facto standard (a handful of alternatives exist, e.g., from Believe and Ircam Amplify) for making what will surely become crucial decisions in how to treat AI-generated music. And not just for charting purposes: think other DSPs using it as a gatekeeping function, analogously to Audible Magic becoming a de facto standard for fingerprinting/music recognition in the 2000s, as DSPs determine how to treat AI slop differently from human-created (perhaps with AI assistance) music. But then the question will become how AI platforms and/or third parties will attempt to evade AI detection, and how the inevitable resulting arms race will play out (which happened with fingerprinting too, not to mention DRM). This will be a pivotal period in an industry -- streaming music -- whose basic model hasn't really changed in well over a decade. And the next question: will Deezer make its AI detection technology available to third parties outside of its music service?

The generative AI arms race has found its next battleground, and it sounds surprisingly melodic. While most attention has focused on text and image generation, OpenAI is reportedly developing a sophisticated music creation tool that could add instrumental tracks to videos and generate accompanying music for existing content. https://lnkd.in/dtfaDQqw

Six months ago I published an edition of my "Key Changes" newsletter that explained why I thought the 4th factor ("Market harm") would play the key role in assessing whether the Gen AI companies activities were covered by fair use. Given the way streaming services operate in terms of playlisting and royalty allocation, there was going to be abundant evidence that any plays of AI tracks would undermine the revenues of genuine artists. Now we know that every week there are so many such plays that the songs are appearing on the Billboard charts. Having an AI artist occupying one of those limited slots on the charts or on a radio station playlist means that some flesh-and blood person is missing out. The transformative use or presence of copies arguments will continue--but if you can't see the market harm, you can't handle the truth.