If you're familiar with music production, you may have heard about mastering. It is a process widely used by the music industry and those who want to enhance their creations, optimizing audio tracks to achieve their best outcome in any playback device and media format.
Mastering is the final step in the audio post-production process and is responsible for ensuring excellent sonic results for producers, musicians, and artists. Back in the days, the process relied entirely on an audio engineer's expertise and craft. Today, due to several breakthroughs in artificial intelligence and cloud computing, mastering has never been more accessible. An unprecedented number of artists, producers, and even audio engineers are taking advantage of its evolution.
The AI mastering process instantly generates hi-fidelity tracks that are "Spotify ready". In most comparison tests, experts can't distinguish the difference between a human or a machine-made master track.
Check out our full post on what is mastering and learn more about it!
What is AI mastering?
The adoption of artificial intelligence in the context of music post-production made the democratization of mastering a reality.
AI (Artificial Intelligence) and cloud computing made mastering accessible to anyone who can't afford the luxury of having their audio engineer working on their tracks. Processing songs in the cloud made it possible to apply state of the art algorithms at scale, creating a novel approach to mastering. The result is the transformation of a service that used to be costly. Now, mastering is available at a fraction of the regular fees charged by the music industry, allowing creators to sound great even when posting a 30 second Instagram video.
At Moises, the process works intelligently and fast. The user simply uploads a reference track and a target track (song to be mastered).
The platform learns the reference track's characteristics and automatically applies its core audio features to the target track. The output is a hi-fi, lossless generated file ready to be published. The mastered track will sound great, whether on a streaming platform such as Spotify, social media, or CD and Vinyl.
The platform became the ultimate tool in the music covers scene, being the best and most affordable solution for those who want to master a cover song.
Mastering covers with Moises
As mentioned before, the platform learns the characteristics of the reference track as one of the inputs to generate a mastered file.
For a better understanding, check the example below:
Imagine mastering a rock song that resembles the style of Foo Fighters' songs. A good reference for your mastering might be a song by Foo Fighters then. After uploading, the machine learns the features of that song and applies it when mastering its audio. Cool, right? ;)
Check out a cover song without mastering vs. mastered on Moises:
SOUNDCLOUD
The mastering service using Moises' artificial intelligence offers studio-quality results to all its users, whether they are professionals in the field or newcomers to the world of music.
After performing a detailed and complete analysis, the Moises algorithm matches both of these tracks and provides you the mastered track with the same RMS, FR, peak amplitude, and stereo width as the reference track has. Moises will also apply a high-end brick wall limiter at the end of the process. To use your own limiter, you can disable this option under the advanced tab.
All files are processed in the cloud making the use of the platform easy even for amateurs. The software is intuitive and an excellent facilitator for music lovers, whether to produce a cover and publish on Spotify or Youtube.
How to use the Moises platform?
Moises has an intuitive interface, making it easy to use for those who want to master a sound production.
Just access the website, login - or create a new account -, click on Upload Track and select Mastering (BETA).
You upload your track and a reference song to the system to extract the elements and master your sound. You can also choose more details from the advanced options, which include settings such as limiter and audio resolution. The limiter helps control the input of signals, establishing a proper threshold to avoid distortion of the track.
Then click Submit and wait for the song to process. In a few minutes, your audio will be ready. The user receives the notification of the mastering in his email, and the file is available for download for 3 days on the free version of the platform.
The Premium version offers numerous benefits, such as unlimited uploads, longer files, high-res (24 bit) WAV format for download, and advanced tools, in addition to keeping your downloads stored for an unlimited time.
Do you have any more questions about how music mastering works using artificial intelligence? Send it to us through the comments!
Images: Moises; Unsplash (Soundtrap)
