Alexander Prokopchuk is an experienced developer manager and computer scientist. Alexander develops the DSP (audio) part of algorithms, leads the team of developers in technology core components design and implementation.

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Alexander Prokopchuk (CTO, Braingines)

Processing Sound on the GPU

Basil Sumatokhin originally developed the whole concept around the GPU AUDIO. He has more than 14-year experience in the sound production and processing industry. His key competencies (related to product development and management) are composition, sound production, vocal tuning, mixing, mastering. He has a solid background in the Pro Audio market and a deep understanding of products and market propositions. He also knows the DSP area, which helps to design new sound effects and products.

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Basil Sumatokhin (CPO, Braingines)

Alexander “Sasha” Talashov is the most versatile team member. He is a computer scientist and engineer (dedicated 2 years in doctoral research related to HPC area in a top Russian engineering university) and an experienced developer manager. He is one of the authors of GPU AUDIO technology and its architect. Spending his last 5 years in the Pro Audio industry, performing market research and analysis, building business networks, he proved his value as an entrepreneur, a people organizer (co-organized a team of 15 professionals), and a fundraiser (4 deals closed).

For the past few decades, the idea of utilizing the power of GPU for sound processing purposes amounted to not more than a pipe dream. Although there were a few commercial attempts to build GPU-powered products – mostly CUDA and OpenCL – none of them were able to overcome the 10-20 millisecond latency buffer, or run at least ten instances simultaneously, meaning that different products (at the time meaning Acustica Audio and LiquidSonics products, Nils Schneider’s reverb) could not work simultaneously on the same GPU. The only thing that was proved at that time is that there are a myriad of fundamental computer science problems that must be resolved, or better yet avoided, before any GPU-powered Pro Audio solution or product can be developed. And of course, adding to that the many more engineering problems that must be resolved to make it stable and reliable in terms of DPC, different hardware setups, etc. – well, there is no wonder many gave up on the concept for so many years.
One of the foundational reasons it was impossible to bring tens, hundreds, or even thousands of GPU-based DSP tasks running together is that originally, a GPU is a SIM(D/T) device. Our approach comes at this problem by considering how one can actually work the SIMD device to act as a pseudo-MIMD for this purpose, which is something you can’t do with any modern GPU SDK.

Another innate problem is that there is no SDK API that allows you to transfer and dispatch data for these hundreds of instances of task chains with differently typed (and furtherly dispatched) data, so you have to figure out how to pack them and run them optimally, so it can be done within the realtime (1-2 msec) latency scope. By resolving these fundamental issues mentioned above, we open the pathway to succeeding, but at the same time we open the door to many other issues to be resolved, such as how to make GPU isolated from other processes in order to operate in low-latency mode, how to “offload graphics / GUI work” from the powerful GPU so it can handle the Pro Audio stuff etc. And this is before we even touch the DSP part yet, as there are lots of low-level code problems related to the recursive nature of most algorithms, e.g. IIR. The good news? We’ve found a way to handle it and are doing it now.

By solving this entire set of these problems, a new Pro Audio computing standard called GPU AUDIO arises and we are proud to present it on YouTube for the first time ever. Let’s discuss the what, the how and the why, and ultimately get into who we believe this is for and how it can revolutionize workflows and beyond!



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Alexander “Sasha” Talashov (Technology Architect, Braingines)

Monthly Meetup (April 13, 2021)

How can we create a JUCE-based plugin with a complex, visually appealing user interface that fills an 8K monitor at the refresh rate? Let's talk about the history of JUCE rendering, recent efforts to improve matters, and where it might all be going.

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JUCE Graphics: Past, Present & Future

Matt Gonzalez (Indie)

Procedural music is enabling interactive music and audio and real time music personalisation. For everyone, on any device. The easiest, most advanced music system in the world, Reactional is pioneering its work in games.

Jonas Kjellberg and Luke Ritchie will look at the impact of a rule-based music engine on game development, generating music based on in-game data, and the power of turning music into a revenue stream with in-game personalisation.

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Create Interactive Music from Composition in 10 Minutes

Jonas Kjellberg + Luke Ritchie (Reactional Music)

The Audio Programmer Virtual Meetup | December 16th, 2024 @ 18:30 UK

CMajor Updates and Talking Product Design! || The Audio Programmer Meetup Mar 2024

Developing and porting plugins to the Multiverse platform, from UI creation to C++ coding. In this talk, we cover the unique challenges of creating and deploying audio plugins on embedded hardware. We'll introduce the Multiverse platform and show how it addresses these challenges and enables developers to access the stompbox market.

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Steve Lascos (Blackaddr Audio and Aviate Audio)

Developing and porting plugins to the Multiverse platform

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Shane Nolan (Aviate Audio)

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Ryan Jaquin (Aviate Audio)

Quick tour of the AUv3Template repo and what it offers for developing a new AUv3 plugin.
Some focus on the render thread, parameter controls, and MIDI interfacing in Swift and
C++.

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Brad Howes (Squarepoint Capital)

AUv3 Filters for iOS and macOS using AUv3Template

Book presentation:
Audio programming is an exciting intersection between software development, digital signal processing (DSP), and creativity. It's enjoyable and rewarding once you've learned the basics, but how do you get started?

In this book, we introduce you to this exciting world with a step-by-step guide to building a synthesizer plug-in. We provide straight-forward explanations to the concepts and keep the math simple.

Why build a synthesizer? Building a synth plug-in is a fantastic way to learn and walk through some of the fundamental concepts of audio programming.

Matthijs Hollemans (Indie)

Creating Synth Plug-Ins with JUCE

 The Audio Programmer Virtual Meetup (Dec 12, 2023 at 18:30 UK)

We will go through the elements necessary to build a high-performance globally distributed software development team. Looking at topics like hiring, processes, rituals, tools and values.

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Jens Brosbøl-Ravnborg (XMT Audio)

Building a Global Audio Programming Team

Adam Fligsten and Nolan Vernon of Silen Audio explain the design struggles for creating Infinite Flow, a modern synthesizer, with an analog soul.
They will discuss the pitfalls they avoided, as well as the unexpected issues that arose as a new audio team. 

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Adam Fligsten (Silen Audio)

The Unseen Challenges of Crafting a Synthesizer from Scratch

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Nolan Vernon (Silen Audio)

In this talk, I'm going to talk about how we built FM Bison - an open source FM synthesizer using the JUCE framework.  I'll talk about some of the challenges along the way and what helps make this synth unique!

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Neils Johannes de Wit (Indie Audio Programmer)

Building FM Bison with JUCE

 The Audio Programmer Virtual Meetup (Nov 7, 2023 at 18:30 UK)

In this presentation, the speaker will discuss and demonstrate the encapsulation of ValueTrees within 'domain-specific' classes, facilitating the transfer of a single ValueTree root object to client code.

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Chris Roberts (Independent Software Engineer)

ValueTree Wrappers: Data model without dealing with ValueTree's in your client code

In this talk, Kyle will discuss the results of an analysis of interviews with 13 professional video game composers about their considerations and concerns about AI driven music technology and how this informs the ways we should be building AI tools if we want to see them adopted in the mainstream. Kyle will then discuss how this informed the development of his expressive rendering deep learning algorithm (Cue-Free Express), which allows non-expressive midi to be performed as if played by a human, with the goal of being a new 'Humanise' tool for composers.

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Kyle Worrall (Music Computing and Psychology Lab, University of York)

Understanding how to design AI driven music technology for increased acceptance by musicians

 The Audio Programmer Virtual Meetup (Oct 10, 2023 at 18:30 UK)

In this talk, we'll explore NeuralNote, an open-source audio-to-MIDI plugin built over Spotify’s BasicPitch model. We’ll dive into the technical aspects of the plugin and gain general insights into the use of machine learning in audio plugins.

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Damien Ronnsin (Minimal Audio)

NeuralNote - An audio-to-MIDI plugin using Machine Learning

Audio buffers are a fundamental container used in audio software development for storing and processing audio signals. This talk will give a brief overview of container design in C++, and will walk through an implementation of a new audio buffer class from scratch. Supplementary classes including a buffer "view" class will be presented as well as C++ "iterator" types to simply the process of iterating through an audio buffer.

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Jatin Chowdhury (Chowdhury DSP)

Audio Buffers, Buffer Views, and Buffer Iterators

Monthly Meetup (September 12th, 2023)

The Korg Prologue is a hybrid analogue polyphonic synthesiser released in 2018. In this talk, a digital model of its VCF based on its circuit diagram is put forward, comparisons are drawn, and the process is discussed.

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Modeling the Korg Prologue VCF

Victor Lazzarini (Maynooth University Music Department)

A headfirst dive into the benefits of rephrasing well known algorithmic reverb structures as FDNs (but with "The Matrix" references).

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Freaky Diffuse Noises: Getting Creative with FDNs

Syl Morrison (Kalide Systems, SLM Audio)

This talk is a summary of the experience of and lessons learned from designing an audio programming language in its early stages. I aim to examine the importance of accessible audio languages, and my considerations and ambitions based on real-world usage of pre-existing languages.

The How, What, and Why of Designing an Audio Language

Ryan Jeffares (Kalide Systems, Sound Training College)

Geraint/Signalsmith chats about his journey learning programming, maths and DSP, and when waving away details can be useful.

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The Advantages of Hand-Waving

Geraint Luff (Signalsmith Audio)

This talk will discuss some of the features of the p5.Csound library for p5.js, and showcase how it can be used to quickly develop web based audio applications. 

p5.Csound - A Lightweight Csound Library for p5js

Rory Walsh (Dundalk Institute of Technology, Ireland)

Ireland Meetup (July 11th, 2023)

I am a junior software engineer based in London. I have worked with the sound stacks team for just under a year, working on the Cmajor platform. My previous studies were in music and audio programming. Alongside work, I co organise dynamic cast, a peer to peer C++ learning group based in Berlin and London.

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Programmer Q&A (Interviewee)

Harriet Drury (Sound Stacks)

Valeriia is a recent computer science graduate from Arizona State University with a background in law. She has been learning about audio in her free time for the past year and is interested in building a career in this field.

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Programmer Q&A (Interviewer)

Valeriia Starosek (Independent)

This talk will be an exploration of LLMs (large language models) to increase developer velocity for audio programming use cases.

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JUCE GPT!?!

Marcus Hobbs (Perfect Buzz Music)

Monthly Meetup (June 13th, 2023)

Warmer Wave Shapers

Geraint Luff (Signalsmith)

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Building Plugin Installers with CMake & CPack

Ben Vining (Independent)

Monthly Meetup (May 9, 2023)

Judges

Ale Koretzky (Splice), David Trevelyan (TikTok), Joshua Reiss (QMUL), Dan Stein (aka DJ Fresh)

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On Another Note: Symbolic Music Generation

Julian Lenz (Pompeu Fabra University)

Neural Audio Plugin Competition (Livestream #6)

AI In Audio Panel

Anna Huang (Google Magenta), David Trevelyan (TikTok), Ale Koretzky (Splice), Zach Evans (Harmonai)

Neural Audio Plugin Competition (Livestream #5)

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Toward Prototyping with Neural Networks on Embedded Hardware

Teresa Pelinkski (Queen Mary University of London)

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Unchain Hidden Power - Latent Space Processing for Music Remixing and Upmixing

Haici Yang (Indiana University)

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AI Death Metal - Eliminating Humans from Music

CJ Carr (Dadabots, Harmonai)

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Beyond the Noise: Exploring the Potential of Audio Effect Removal for Music Production

Johannes Imort (AudioShake)

Neural Audio Plugin Competition (Livestream #4)

Monthly Meetup (April 13, 2021)

Previous Meetups