🎉 BIG NEWS: One year ago, we released the beta version of Automix, our AI-powered mixing platform. Today, we're thrilled to launch the official, refined, and supercharged Automix! 🚀

Major R&D breakthrough at @roexaudio! Mixes are no longer static. Our new models render fully adaptive automation, dynamically adjusting gain, EQ, and compression across every section of your track. A big step closer to style transfer and real-time mixing. Rolling out soon!

Calling all audio developers! We're excited to announce that @roexaudio's audio technology is now available as an easy to use Python pip package. With this package, you can seamlessly integrate powerful audio processing capabilities into your projects, whether it's 32-channel multitrack mixing, mastering, mix/master analysis, enhancement/restoration, stem separation or cleaning up audio. We have loads of helpful tutorials available, and as always, contributions are most welcome. Feed the repo to your favourite LLM and have some fun. Check it out on PyPI and start building with us today. Link below.

🚀 Automating Multitrack Mixing with RoEx’s Tonn API & DAWProject Mixing multitrack audio programmatically is now a reality—efficient, scalable, and perfect for AI-powered music tools & DAW integrations. 🎛️ Retrieve a mix preview 🎚️ Apply gain, EQ, & compression 📂 Export to Bitwig, Studio One (Cubase coming soon) Full tutorial: medium.com/@davidmronan/auto… Code repo in the comments. Where do you see automation in music heading?

We’ve ported DAWProject to Python! 🐍 Now devs can easily parse, modify & generate .dawproject files. 🔗 Check it out: github.com/roex-audio/dawpro… Let’s push for DAWProject in every DAW! 🎚️🔥

I’m thrilled to announce that our paper: “Exploring trends in audio mixes and masters: Insights from a dataset analysis” has been accepted for publication at the upcoming @AES in New York! 🎉 Our research dives deep into the world of audio production, analyzing over 218,109 tracks from our Mix Check Studio platform. We focused on key audio metrics and aesthetic considerations in both mixed and mastered audio, spanning across 30 different music genres. Here are some of the key findings: * Loudness and Dynamics Issues: These are the most common challenges we observed, especially in mastered audio. * Compression: Mastered audio generally shows better results in compression than mixed audio. * Stereo Field and Phase Issues: Mastered tracks tend to have fewer stereo field and phase issues compared to mixed tracks. Our goal with this research is to help amateur music producers elevate their work and make informed decisions before releasing their music. I’ll be giving a talk at AES where I’ll dive into our findings and discuss how they can contribute to improving the quality of music production. A huge thank you to my co-authors for their invaluable contributions: @AngelikMourgela, @elio_elioo, @SpyrosBissas and @JoshuaReiss , as well as the rest of the @roexaudio team. If you’re attending AES, I’d love to connect and discuss this further. See you in New York!  🎧 ✨