Over the last few decades, artificial intelligence availability has grown rapidly, with new high-end technology being developed daily.
New innovative tools are emerging that can help listeners and artists in the music industry. In this article, we will present the leading AI music companies in the music generators platforms, composers, sound changers, mastering and more.
AI music generators.
AI music generators train machine learning algorithms based on large datasets of existing music to create music that sounds similar to the ones in the dataset.
The user chooses the mood, genre, and tempo, and the AI generates a brand-new track. If you type a prompt in the music generator, "upbeat song," you'll receive an AI-generated song inspired by upbeat tracks, a machine learning reference.
The Leading Players in This Field Today are:
Suno
Udio
Loudly
Jukedeck
Humtap
Sound raw
Suno is a unique and one of the leading AI-generated music creation platform. It is very user-friendly and perfect for generating different styles of music. Results are surprisingly good, even for the professional hear. The options available are excellent, and we already encountered at One Submit, users that are using Spotify promotion to promote AI generated music.
Udio can be an excellent music creation tool, mainly when collaborating with others. It could easily generate acapella vocals, but also instrumentals and full sonts. It is fun to use and creative, it is one of the leading platforms on the market today.
With AI, Loudly provides a simple interface and a vast library of beats to help users make music. It is especially great for spontaneous ideas, but power users may wish they had more options to tinker with the output. Very usefull for independent artists and producers.
Jukedeck
Jukedeck is unique in that it can generate royalty-free music within seconds. It is fundamental and easy to use but focuses on specific styles, which can be restrictive for more niche requirements.
Humtap
Humtap enables users to create songs by singing, humming, or tapping the desired rhythm. This is quite interesting, but I wish the output had a more professional touch, as the results are sometimes not that skilled.
Sound raw
Soundraw delivers dynamic music generation with impressive customization options. It's an excellent tool for creating mood-specific tracks, though its output might require tweaking to fit professional projects.
Advantages
Background music and beats—This could be a solution for someone who wants to reduce licensing fees and use it as background music for a video or as music beats to rap on.
Royalty-free background music can be generated easily without the need to register rights or license a track, and it can be licensed for commercial use without the threat of copyright strikes.
Musical ideas - music generated by the AI generators can inspire artists with new ideas or musical hooks.
Instantly generate a track in multiple languages and different music genres, from hip-hop to rock music.
Disadvantages
Lack of musical depth, creativity, and complexity that human composers bring to their work.
In some cases, the prompt has generated a result that is not a perfect music track, and it's hard to impossible to make specific changes and bring the track to perfection.
Lacking originality, in some cases, the AI technology will generate new music that sounds similar to a previously generated track.
The audio quality isn't high enough and sounds a bit synthetic.
Copyright issues: Since it's a new field and the music generated is based on already existing tracks, the question of who owns the rights to AI-generated music is largely unresolved.
AI for Music Production
This sort of usage of AI is not for producing new music but for assisting music creators. Some AI-powered tools can be helpful for artists in different stages of their creative process. For example, AI platforms can analyze a song's key changes and chord progressions and even suggest melodies based on what the musician wants to create.
Many musicians have overcome their creative blocks with the help of AI and taken their music to places it never would have reached without it.
The Leading Players in This Field Today are:
Amper Music
Aiva
Amadeus Code
Atlas 2
Amper Music
This is an AI-powered platform for creating music for soundtracks and background music. The software is fast but the output is basic and lacks the dynamics and automation that music producers expect to see.
Aiva
Aiva is excellent at generating music, incredibly cinematic and classical music. It is also great for producing emotional orchestral music, but the learning curve might be pretty pronounced for beginners.
Amadeus Code
Amadeus Code benefits songwriters who need ideas to develop their compositions into full-fledged songs. It offers melody suggestions based on user input, which is quite brilliant. However, the interface can be rather clumsy and could be enhanced.
Atlas 2
Atlas 2 is a versatile music production tool for speed, efficiency and flexibility. It enables users to quickly browse and combine the samples in the context of other sounds and drum patterns. It has an intuitive interface and easy access to frequently used features, for a streamlined workflow. It supports integration with various samples, MIDI, external apps and hardware with no limitations to creativity.
Advantages
New Ideas - Music generated by AI can inspire artists and composers, which could help to overcome creative blocks.
Disadvantages
Lack of creativity and originality in music created by human composers
Legal Issues: There may be legal issues and copyrights of AI-generated music.
AI Sound Changer
This is the most impressive feature we've encountered. Sound changing in real time could revolutionize the production process.
In collaboration with Google, Magenta can replace a melody with a different instrument based on a melody or another instrument. For example, you can upload a vocal and change it to be played by a violin or a trumpet.
The overwhelming results could be a game changer for music producers. Instead of looking for a trumpet instrumentalist or violinist, the producer can get a sound similar to an instrument based on a melody or another instrument.
There are good VSTs today, but none can analyze a melody and create a similar melody from another instrument.
It also comes in a plugin version for your DAW.
We haven't found any disadvantages to using this technology; it's pretty awesome.
AI Mastering
AI-powered mastering tools can analyze audio files and automatically adjust levels, EQ, and other parameters to create a balanced, polished sound.
This can save time and money for producers and artists and enhance the quality of the final mix by automating many of the tedious and time-consuming aspects of the mixing and mastering processes.
There are already great mastering plugins for DAW, but they all require previous knowledge of sound and adjustments that an untrained person may not possess.
AI-based mastering companies on the web analyze the uploaded audio and output the right level, EQ, and compression adjustment for the track.
Companies working in the field today are:
Landr
Master channel
Bandlab Mastering
CloudBounce
eMastered
Advantages
Fast and cheap mastering treatment for your audio could be handy for upcoming artists at the beginning of their musical careers.
Disadvantages
Sound can be overprocessed in the audio. This can result in a final mix that sounds overcompressed or overly processed, harming the overall sound quality.
Many AI mastering tools offer a set of pre-defined settings or parameters that cannot be customized beyond a certain point. This means the user may not have as much control over the final sound as they would with a human engineer.
AI music separation
Another great feature we have found is AI music separation. Users can input their audio or a famous song and separate the vocals from the instrumentals.
It could come in handy if you are a singer and you want an instrumental version of a song you like to sing or if you are a rapper looking to rap on a famous song.
The Top Players on the Field are:
Lalal.ai
Vocal remover
Voicemod
Disadvantages:
The results are not perfect and sometimes can be synthetic.
Advantages:
Track separation is impressive and valuable for singers who want an instrumental version of a famous song or track to rap on.
Lyrics Generators
The internet is covered in AI lyrics generators, such as Jarvis, Rytr, These Lyrics Do Not Exist, and many more.
Enter your keywords, feelings, or moods, and ask the AI to create lyrics. If you are stuck for lyric inspiration, you can use these tools for a first aid job, but we wouldn’t advise you to build your whole song around them.
Top Players in The Field are:
Aiseo
Toolbaz
Audoir
BoredHumans
Mathigatti
Advantages
Tools can help overcome writer's block by suggesting a word or a sentence.
Disadvantages
In most cases, results are simple, predictable, or even childish.
Additional usage of AI in music
AI is deeply ingrained in streaming services like Apple Music or Spotify; it’s in the algorithm and is used to create personalized playlists like Discover Weekly, Release Radar, Daily Mix, and many more.
AI is also changing the live music scene through the use of virtual and augmented reality, AI-powered visualizations, responsive lighting, and interactive live shows.
Music marketing and distribution can also be positively affected by AI. This is because AI marketing platforms allow companies to use pattern recognition in data on audience preferences to know how best to market and distribute their shows.
This leads to more efficient marketing and higher attendance and revenue.
Endless possibilities
Given what you’ve just read, you might already think AI is hugely revolutionary in music, but we’ve barely scratched the surface.
Looking at the tools available today, we can say that AI in the music industry could be very effective when there is no creative process involved, such as in mastering, sound replacement, or sound separation.
But when it comes to creativity, we are still miles away from being able to compose or write music like a human composer or songwriter.
Should we fear AI?
However, it wouldn’t feel right, not to mention the fear that comes with it, even though AI has been hugely beneficial. The ability of AI to generate new music could, in the future, decrease the demand for human musicians.
When it comes to the use of music in creating AI algorithms, there have been discussions, and they have been conflicting regarding the potential loss of intellectual property rights for musicians whose music is used in AI algorithms.
The RIAA and BPI have called for protection against AI music infringement to fight this. Strong protests were made when the UK government proposed that AI training could use creative works without permission. This shows the cautious use of AI in the future to avoid the rights of artists whose music has been ‘stolen’ by an AI platform.
A similar issue occurred when Napster was sued for copyright protection in the late 1990s. The music-sharing platform was so popular that it cut artist merchandise sales of vinyl records and CDs. To avoid another crisis of this level, which would cut down the demand for musicians, AI companies must find a middle ground between controlling the music industry and helping human musicians create and market music.
This intelligence must be used responsibly and ethically for the future so it doesn’t wholly swallow the music industry we know.
Good luck.
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