stayc main image

Top 10 Mixing Mistakes and How to Avoid Them

October 18, 2024

Mixing is an art form that requires not only technical skill but also a keen ear and attention to detail. Many producers and engineers fall into common traps...

Read more
stayc main image

Choosing the Best CPU for Music Production

October 18, 2024

When upgrading your CPU for music production, whether you're composing orchestral scores, producing electronic music, or working with intricate multi-track projects, selecting the right processor...

Read more
stayc main image

How to Create Epic Risers and Transition Effects for Electronic Music

October 11, 2024

Creating epic risers and transition effects is essential for electronic music producers to build tension and anticipation before a drop or shift in their tracks. Here’s how you can do it...

Read more
stayc main image

Automating a Drum Bus in Reaper to Create Dynamic Room Effects

October 6, 2024

Read more
stayc main image

EQ in Practice: How to Use Subtractive EQ to Clean Up Muddy Mixes

October 6, 2024

ixing music is an art, and one of the most essential tools for achieving clarity in a mix is the equalizer (EQ). One technique, in particular, known as subtractive EQ, can work wonders for cleaning...

Read more
stayc main image

How to Manage Static Noise in High Frequencies When Compressing Vocals

October 6, 2024

One common frustration in vocal production, especially for home studio and bedroom producers, is encountering static noise in the high frequencies after compressing and brightening vocals...

Read more
stayc main image

Sampling Like a Pro: How to Flip Samples and Avoid Legal Issues

October 6, 2024

Sampling has been a cornerstone of modern music production, allowing producers to reimagine and breathe new life into old tracks. Whether you're producing hip-hop, EDM, or any genre, knowing how to...

Read more
stayc main image

What Makes an EQ or Compressor VST High-Quality: Insights and Examples from Pros

October 6, 2024

When selecting EQ and compressor plugins, musicians and producers look for more than just a shiny interface or brand recognition. It's all about how these tools perform in real-world scenarios...

Read more
stayc main image

Sound Design 101: Crafting Killer Drum Sounds Using Synthesizers

October 6, 2024

Drum sounds form the backbone of many music genres, and while sample packs are popular, designing your own drum sounds from scratch can elevate your production to a whole new level. Crafting custom...

Read more
stayc main image

Mastering Multiband Compression Sidechaining: A Solution to Clashing Frequencies

October 6, 2024

In modern music production, one of the most common challenges is the clash of frequencies between instruments. For example, bass guitars and drum kits often compete for space in the lower end of...

Read more
stayc main image

Studio One Workflow Tips for Faster Music Production

October 1, 2024

Studio One by PreSonus is an incredibly powerful DAW (Digital Audio Workstation) that offers a variety of tools to streamline your music production workflow. However, like many DAWs, getting the...

Read more
stayc main image

Solving the Issue of Buried Crash Cymbals in the Mix

October 1, 2024

Crash cymbals often get buried in the mix, especially when using complex miking techniques like Glyn Johns, which balances close mics with overheads. While re-recording with higher cymbals may be a...

Read more

Will Google End Work for Music Creators with their New Music AI?

stayc main image

Mobile Syrup

Google has done it.  They have created an AI that can generate music from text descriptions.  The announcement of this is timely because recently Chat GPT, (a language learning model created by Open AI), can do everything from writing school papers, song lyrics, to solving coding problems, and is dominating the news with reports that this tool will be a massive disruption for school professors, marketing companies, programmers and creatives alike.

Google’s learning model is called MusicLM.  It has the ability to produce songs that are particularly complex in composition and fidelity.  It was trained on a dataset of 280,000 hours of music to learn to generate songs from simple and complex text descriptions.

Attempts at this AI have been tried before, however with MusicLM there is a major difference.  The songs sound good.  It is reported that the music produced is able to capture human nuances like instrumental riffs, melodies and moods.  The system can also build on existing partial melodies that need to be resolved, and can pick up on this by receiving inputs through humming, singing or whistling.

The Pros:

One of the key advantages of this AI system is its accessibility. People who have no musical background can now create music simply by inputting text. The AI system takes care of the musical arrangements and generates original compositions that can be further refined and modified by the user.

The technology also offers a significant time-saving benefit for experienced composers. The AI system can generate musical ideas in seconds, freeing up more time for the composer to focus on refining the pieces and adding their own personal touch.

The AI system is versatile and can generate music in a variety of styles, from classical to pop and everything in between. This means that it can be used for different purposes, from creating background music for videos to composing original soundtracks for movies or games.

The Verge

The Cons:

It is important to note that currently, the MusicLM system is not without limitations. The music generated by the system is not always emotionally engaging or compelling. If it is used by a composer, it will be important for them to add their own creativity and emotion to the pieces generated by the AI system.

Another thing to consider are the difficult questions surrounding the legal and commercial implications:

What constitutes an original composition, when the music created is either AI assisted or purely made from AI?

After learning from human data sets, could the AI create melodies so similar to existing music created by humans, that it crosses the line of our copyright laws?

Will the average listener care whether the songs they listen to are created by a human or computer? 

What does this all mean for the millions of music creators around the world creating to make a living?

These are all questions that can be answered over time, but for now, because of the ethical challenges and risks, Google has decided not to release MusicLM to the public.

This is a relief for the present day music creator, but in due time MusicLM or something like it will launch and it will continue to improve in performance. One can only imagine what the world will look like when the machines are able to create music so well that the job of the composer, producer, songwriter and artist becomes unnecessary.