Optimizing Pro Tools for Professional Performance

Over the past few weeks, I’ve been upgrading my Pro Tools system and studio workflow. If you’re setting up a new system — whether you’re a musician, educator, or audio professional — I want to share the steps I used to tune my rig for professional-level performance.

My system now runs effortlessly — even with large sessions and demanding sample libraries — and I hope this guide helps you do the same.


🎼 My System:

  • Mac mini (2024) M4 — 24 GB RAM
  • macOS Sequoia 15.5
  • Pro Tools Studio
  • Universal Audio Volt 2 interface
  • Native Instruments Komplete Standard 15
  • Kontakt 7, Reaktor 6, Session Strings 2, and more

🚀 Why This Matters:

A lot of musicians and educators ask:

“How can I keep Pro Tools running fast — even when using big Kontakt libraries or mixing large sessions?”

The key: setting up two external SSDs and tuning Pro Tools to use them properly.


🎛️ My Setup:

SSD #1 — Native Instruments Libraries
SSD #2 — Pro Tools Sessions


Tuning Steps I Followed:

1️⃣ Disk Allocation:
Made sure all Pro Tools tracks are recording to Sessions SSD — no stray files going to internal Mac drive.

2️⃣ Disk Cache:
Set Pro Tools Disk Cache to 8 GB (for M4 Mac mini w/ 24 GB RAM).
Result: playback is smooth, no lag — even with big Kontakt instruments loaded.

3️⃣ Libraries Relocation:
Moved my Kontakt Factory Library, Reaktor Factory Library, Session Strings 2, and other key libraries to SSD #1 — and repaired paths in Native Access.

4️⃣ MIDI & Playback Engine:
Playback Engine set to Volt 2
MIDI working smoothly — both USB and 5-pin MIDI cables tested

5️⃣ Pro Tools Preferences:
Auto-backup enabled
Project Cache verified
Disk Allocation pointing 100% to SSD #2


💻 Final Results:

Pro Tools now runs perfectly stable — even with:
🎼 24+ audio tracks
🎼 Multiple Kontakt instances
🎼 Real-time guitar playing through amp sims
🎼 Large virtual instruments and Reaktor patches


🎙️ Why This Works:

When you separate your sample libraries from your session audio — and tune your Disk Cache and Disk Allocation — Pro Tools and Kontakt can both stream without fighting for disk bandwidth.

This is the same strategy you’ll see in commercial studios — and it works beautifully on a compact Mac mini rig.


🎹 Final Takeaway:

If you’re running Pro Tools on an M-series Mac, and working with:

✅ Big Kontakt libraries
✅ Pro Tools sessions with 24+ tracks
✅ Real-time tracking of vocals or instruments

…then two external SSDs + tuned Disk Cache will give you professional-level performance — and peace of mind.


If this helped you — or if you have questions about setting up your own Pro Tools system — feel free to reach out. I love helping musicians and educators make the most of their gear!

— Dr. David Mitchell 🎼


P.S. I’m happy to share my full tuning checklist — just ask!

Empowering Musicians: The Future of AI and Income

Balancing Innovation with Artist Protections

In recent years, the intersection of AI and music has ignited spirited debates around creativity, authenticity, and—of utmost concern to artists—compensation. YouTube’s experimental Dream Track AI feature exemplifies how these technologies can shape both the future of music and the income landscape for creators. At its core, Dream Track uses artificial intelligence to generate short soundtracks in the distinctive styles of participating artists, from Demi Lovato to T-Pain, allowing creators to infuse their YouTube Shorts with personalized soundscapes. This feature showcases a fresh opportunity for artists to reach audiences and offers a revenue model that blends passive income with artistic integrity.

Dream Track AI isn’t simply a novel tool; it represents a nascent paradigm where artists can profit from the expanding applications of AI. Each artist involved in Dream Track has entered into a compensation agreement with YouTube, receiving payment whenever their vocal style or likeness is utilized in AI-generated tracks. This model opens the door to a future where artists, whether household names or emerging talents, can earn royalties every time their voice, likeness, or musical style is utilized in AI compositions. This is the digital music industry’s response to the era of passive income, a model that could create durable, scalable revenue for musicians as AI-generated content becomes increasingly popular.

AI Collaboration: The Path to Passive Income

For participating artists, Dream Track AI creates an unprecedented opportunity to generate passive income. Historically, artists primarily earned revenue through live performances, album sales, or streams—each directly tied to their immediate input or physical presence. Now, thanks to Dream Track, artists can license their voice and style, creating revenue streams independent of new content releases or tours.

Imagine an artist who wants to step back from the relentless cycle of touring or recording yet still wants to maintain a connection to their fans. With AI-powered platforms like Dream Track, they could potentially enjoy royalties indefinitely, as users engage with their voice or style in various contexts. AI collaboration redefines what it means to “perform,” extending the artist’s reach and generating income in ways that are increasingly flexible.

YouTube, keenly aware of its role as a gatekeeper in this brave new world, has embraced AI principles that emphasize transparency and compensation. These policies are designed to protect artists from exploitation and ensure that their unique contributions are honored—both in recognition and in revenue.

 Protecting Artists with New Legislation

While the potential for AI-based income is exciting, it’s also fraught with ethical and legal challenges. Many artists have raised concerns about unauthorized AI-generated uses of their voice or likeness—a stance underscored by recent legal measures. A landmark example is Tennessee’s ELVIS Act, a law that prohibits the replication of an artist’s voice without their permission. This legislation, named after one of music’s most iconic voices, reflects a growing trend to safeguard artists from unwanted AI-generated reproductions and establishes a legal basis for protecting their rights.

Furthermore, organizations like SAG-AFTRA have negotiated agreements with AI developers to ensure voice actors are compensated for the use of their digitally recreated voices. These agreements often include session fees and ongoing royalties, acknowledging that while AI may be performing the labor, it’s the artist’s essence—their voice, their style—that is ultimately on display.

Such laws and agreements don’t just prevent misuse; they empower artists. By licensing their work for AI use, artists can exercise control over their brand while tapping into new income streams. AI-generated work doesn’t have to replace artists; instead, it can amplify their reach and extend their revenue potential in ways they control.

 Paving the Way for an Artist-Centric Future

The Dream Track AI experiment could serve as a blueprint for a future where artists don’t just protect their intellectual property—they thrive financially from it. Imagine if every time a music fan customized a favorite song, adjusted a style, or used an artist’s vocal timbre in their own creative projects, the original artist received compensation. This new income model could soon expand beyond YouTube, with platforms like TikTok, Instagram, and even traditional streaming services exploring similar possibilities.

In the meantime, the message is clear: the combination of AI innovation and artist protection laws is opening new doors for musicians. Dream Track AI demonstrates that these technologies can enhance the music industry rather than undermine it, creating a harmonious blend of artistry and technology where artists are rewarded, audiences are delighted, and creativity remains at the heart of it all. This is not merely a speculative future—it’s a transformative moment where the artist, finally, is in control of both their art and their income.

By embracing this vision, we can shape an industry where AI amplifies the artist’s presence, respects their work, and supports their livelihood in new, sustainable ways. In this artist-centric future, creativity is not just celebrated; it’s compensated, generating passive income that honors the integrity of the artist and the limitless potential of the music they inspire.

Al Jazeera TV Interview: Music Composition and AI’s Impact on the Industry

I was interviewed by Royden D’Souza with Al Jazeera TV about AI and music. He found me through the Atlanta Institute of Music and Media blog. We covered a lot of interesting topics including music composition, audio production and the future of the music industry in the era of AI. Please share and let me know what you think.

“Vanishing Points” for MAX/Jitter

“Vanishing Points” is my latest real-time interactive MAX/Jitter patch. It was inspired by the event horizon associated with black holes in deep space.

This piece is improvised using a MAX patch and Jitter video processing software. Mouse movements control the sine wave glissandi, while the synth sounds are created using a MIDI controller and computer keyboard rewired into Ableton.

The audio texture is created with delay pipes that are controlled via the pitch wheel and computer keyboard. The direction, velocity and tilt of the video pixels is controlled by the velocity and MIDI note information from the MIDI controller and computer keyboard.

Here’s what the presentation mode looks like:

Here’s what the patch itself looks like:

Wedges for Classical Guitar by Dr. Mitchell

I became interested in twelve-tone hexachordal combinatoriality after studying the works of Arnold Schoenberg. Wedges is my latest composition utilizing this approach. I’ve found it to be the most efficient way to cycle through the row and generate a consistent and convincing accompaniment part. It works particularly well in counterpoint.

I decided to share the score and recording on my blog because I thought perhaps music theorists would find it interesting to analyze. Besides hexachordal combinatoriality, there are a number of compositional tools packed into this piece. So, feel free to download and print the score. Here are some things to look for:

  1. Hexachordal Combinatoriality
  2. Wedges – You’ll find musical gestures converging on a single note from opposite directs in counterpoint.
  3. Motivic Parallelism
  4. Augmentation and Diminution
  5. Octave Displacement
  6. Rhythmic Motives in Retrograde
  7. Polymelodies
  8. And More… ; )

Have fun analyzing!

The Matrix

The Wedge

The Score

Wedges – Score

The Recording

https://youtu.be/Ggg6wKhbByI

 

“Champagne” by David Mitchell

“Champagne” is a rock/funk tune, which some have described as David Bowie meets The Commodores. This song was written, recording and mixed by Dr. David Mitchell, aka The Professor.

The song begins and ends with the sound of a champagne bottle being opened. It utilizes musique concrete techniques pioneered by Pierre Schaeffer and spatialization techniques inspired by Edgard Varese.

Click on your preferred streaming service below and check it out:

“Champagne” Streaming on Spotify
“Champagne” Streaming on Apple Music
“Champagne” Streaming on Pandora

My Little Hound Dog

This is a video and song written for Callie, “My Little Hound Dog”. : ) She’s a rescue dog with a great big heart and a talent for catching frisbees. All proceeds go to Lifeline Animal Project. Adopt a dog today. Their goal is to #emptythecages by National Dog Day, August 26th! Share and Enjoy! Jennifer Jones Mitchell wrote the lyrics. Click on the picture below to check out the video!

callie

“Lake Avondale” Performances in Italy

Duende, an Italian guitar/piano duo featuring Donato D’Antonio (guitar) and Matteo Ramon Arevalos (piano) will perform “Lake Avondale” by Dr. David Mitchell on their tour of Italy and the US, which begins Friday, May 24th in Modeno, Italy.

Click here to view the program and details.

I will be able to share video and audio of performances in the coming weeks. Very exciting!!

Lake Avondale is available for purchase at Amazon.com.

“Angularities” Published by Dorn

“Angularities” has been published by Dorn Publications. It’s now available on Amazon. Click on the image below:

Screen Shot 2019-03-26 at 1.41.36 PM

“Angularities”, written for Dr. Tammy Evans Yonce, explores rhythmic, harmonic and melodic angularities for glissando headjoint flute. Harmonically, this piece uses octatonic, chromatic, minor pentatonic and minor pitch collections moving between pitch centricities with rapid, angular trajectories. Angular leaps in the melody are contrasted by smooth, scalar passages leading to a mournful middle section in D minor. Rhythmic angularities are bound together through syncopated rhythmic motives creating a sense of continuity and forward momentum. In short, this piece dances through pitch centers, slides through emotional twists and leaves the listener tapping their toes.