Top 20 AI Text-to-Music samples with prompts by Mubert
In Brief
AI text-to-music prompts can help you turn any text into music, and anyone can learn how to use text-to-music generators in a matter of minutes
AI-generated music is still in its early stages, and it might not be as polished or professional-sounding as music created by humans
As AI technology continues to develop, we can expect the quality of AI-generated music to improve significantly
In this article, we will be discussing the AI text-to-music samples. We will also be looking at the different type of prompts that are available and what they do.
Metaverse Post has released a set of 20 text-to-music samples, each with a different prompt. According to Mubert, the prompts affect the melody as the emotions in a text, rhythmic pattern, sound of a word, pitch of a word. It can also make a song sound like it’s being sung or played on an instrument.
Mubert is a startup that uses AI to generate music. The company has developed a text-to-music technology that can turn any text into a melody. Mubert is a leading provider of AI-powered sound design and composition tools. Technology is able to analyse, select relevant sounds, as well as build arrangements and compositions from them. This allows to create truly unique and impactful soundtracks for a variety of applications.
Mubert developers said that the technology is still in its early stages, but they’ve already received plenty of interest from people who want to use these tools for personal and commercial projects.
Below we will take a closer look at how the AI music generator works and what it can do with your prompts. We will also provide a few examples of AI-generated music to give you an idea of what to expect.
Text-to-Music Samples
AI music is a growing field of computer science that is trying to create algorithms that can generate new music that is similar to existing music. While the current state of AI music is not perfect and there are still many challenges that need to be overcome, AI music is still moving forward and making progress. With each new breakthrough, we get closer to creating AI that can generate truly great music.
How much is it influenced by the human input?
In recent years, artificial intelligence (AI) has made incredible strides in the field of music generation. Thanks to AI, we now have text-to-music generators that can create convincing sounding music based on a prompt or sample. But the question remains – how generative is this music really?
Many people have been fooled by the results of this system, thinking that the music is being synthesized by a neural network. However, that is not the case. The music is actually being created by musicians and sound designers, who are working behind the scenes.
Is there any legal risk to releasing the track?
If you’re looking for music to use in your video or presentation, you can find plenty of options online. And best of all, many of these options are available for free. However, there are some caveats to using these free music tracks. For example, you may need to attribute the track to the artist in your video or presentation. Or you might not be able to release the track on digital streaming platforms like Spotify or Apple Music. Despite these caveats, free music can be a great option if you’re looking to add some background music to your project. Just be sure to check the terms of use before you use any track.
You can use it for commercial or non-commercial purposes in any way you like. However, if you’re not going to use it as background music for something else, make sure to add something original to the song. According to developers, all AI-generated music is legal and free-to-use. This means that anyone can use AI to create music without worrying about copyright or licensing issues. This is a huge advantage for musicians, as it opens up a whole new world of possibilities for creating new and original music.
FAQs
Text to music is an AI process of converting prompts into music using electronic sound.
Text-to-Music generator is a tool that helps you create background music for your videos or presentations.
It is unlikely that AI will replace composers, as composing music requires creative insight and understanding of emotional content that AI may not be able to replicate.
AI can write songs, but the quality of the songs will depend on the algorithm used and the data fed into the system.
AI can write songs, but the quality of the songs will depend on the algorithm used and the data fed into the system.
No, AI cannot replace singers at this time.
Conclusion
This technology has a wide range of applications, from creating targeted campaigns to helping improve users’ productivity to reducing the cost of creating melodies for the game industry. This technology can be used to create custom music for advertisements, movies, games, and more. The company is currently in the process of patenting this technology.
- Several weeks ago, another one company StabilityAI announced their newest product, Harmonai, is a music AI generator that creates original songs based on a Dance Diffusion Model. This model is designed to simulate how music diffusion happens in the real world. Harmonai is the first product of its kind and it is sure to revolutionize the music industry. This will allow people of all backgrounds to create music and share it with the world. Harmonai is currently in beta and will be released to the public later this year.
- Recently in October, a new AI text-to-music system called AudioLM was revealed by Google AI. This system is designed to generate music from textual prompts, such as titles, artist names, and song lyrics. The results are impressive, but still, they are not perfect.
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About The Author
Damir is the team leader, product manager, and editor at Metaverse Post, covering topics such as AI/ML, AGI, LLMs, Metaverse, and Web3-related fields. His articles attract a massive audience of over a million users every month. He appears to be an expert with 10 years of experience in SEO and digital marketing. Damir has been mentioned in Mashable, Wired, Cointelegraph, The New Yorker, Inside.com, Entrepreneur, BeInCrypto, and other publications. He travels between the UAE, Turkey, Russia, and the CIS as a digital nomad. Damir earned a bachelor's degree in physics, which he believes has given him the critical thinking skills needed to be successful in the ever-changing landscape of the internet.
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Damir is the team leader, product manager, and editor at Metaverse Post, covering topics such as AI/ML, AGI, LLMs, Metaverse, and Web3-related fields. His articles attract a massive audience of over a million users every month. He appears to be an expert with 10 years of experience in SEO and digital marketing. Damir has been mentioned in Mashable, Wired, Cointelegraph, The New Yorker, Inside.com, Entrepreneur, BeInCrypto, and other publications. He travels between the UAE, Turkey, Russia, and the CIS as a digital nomad. Damir earned a bachelor's degree in physics, which he believes has given him the critical thinking skills needed to be successful in the ever-changing landscape of the internet.
