I go back and rewatch this at least once a year. Really inspirational. I hope Tom is doing well!

the audio file reading sounds like an interesting problem

the ai noise removal never fails to replace audience sounds and silence with the most devilish sounds ive ever heard lol

lol i was just thinking of coding a daw for myself yesterday lol

The next DAW will create music for you, requiring no talent. It will be replete with AI tools, MIR infused utilities, all informed by huge datasets. And I have zero interest in that world.

Very interesting and fact-filled, great!

Why... Because Bitwig is already out there.

We really need to focus on utilitarianism in design; reinventing the wheel because it's "comme il faut" literally takes away work-hours from innovation.

I think ADC23 has the highest hit rate of videos that make me go "I should really make time to watch that properly" of any ADC. It's gonna take me forever to get caught up, which will help me avoid writing a DAW for quite a while.

Thanks for sharing. Interesting stuff to understand

thank you im using romp right but thinking to switch

i clicked cuz the name from the Chow DSP stuff. cool beans

This is fantastic and easy to follow, thank you!

one of andrew kelley's motivations for making zig was that C/C++ were not well-suited for writing a DAW

This looks really interesting - I’m going to try it out for my daisy seed project to do guitar effects which are DSP combined with analog.

Thank you

Taking notes.

This is going to be interesting....😊

Very informative and well done talk.

incredible RDJ rabbit hole brought me here ❤

Super innovative stuff. It's amazing what a bit of real low level engineering can unlock.

Very interesting talk! I really appreciated the “perfect glitch” 😂

🎧 Perfect Glitch 🎧

ADC, could you please post the 20 minute Q&A for this session? I did not get to see it but am very interested in doing so

00:00 Introduction 00:47 What is Anukari? 02:43 Chapter 1: Thread Synchronization 09:38 Wait-free Diff Queue 21:38 Intermission: A Simple way to prove NO memory allocation 24:45 Chapter 2: GPU Computation 31:57 GPU synchronization bug: crazy physics explosion video

Excellent presentation and questions. I see that we are at the right place at the right time in audio history for some new-fangle fun. I am looking forward to taking audio off the front wall.

18:44 When the random person from the audience turns out to be Andrew Scheps xD

LOW PROJECT !!

Why is my phase vocoder always making a annoying ringing noise when I try to shift 12 semitones up but sounds good when shifting tunes down？ Does it often occur on traditional phase vocoder？ Which part should I improve？

really informative

0:54

Bambi was a pioneer of sorts in the NLE arena.

Awesome, thank you. 14:56 Black Mirror S05E03: Rachel, Jack and Ashley Too

Super interesting thanks

Why would you need 44100^3 nodes to simulate wave propagation in a 1m^3 space? The speed of sound is 340 m/s so I would assume you need more like (44100/340)^3 nodes per cubic meter?

This is the area I want to work. This is the video I needed. I also did the simple filter of Jan, and ran it in Ableton. It was an amazing feeling. I will pursue this feeling. Thank you Jan.

mojo :P

17:08 I was wondering if I use cppyy in a python project can i have the speed of c++ in python? like in a flask project.

Interesting and Brilliant study

A little question, in 3d real time, delays might change if the character move, could this provoke pitch modulation ? Do we have to make special delay that blend to a different time without pitch modulation ? Or the effect of those modulation/interpolation are not so much pronounced at normal speed ?

on 12:30 regarding "Linear complexity" is it linear or Exponential, because we multiply three variables in sequence: refl. depth * triangles & rays.

Def. good discussion. Would love to see Binaural simulation as well, because most of us today use headphones when listening to music or gaming… maybe not so much when watching a movie but 80% of the time we deal with headphones.

I love your content and energy. Can't wait to see more!

Are IIR filters are worth it, given the fact that FIR filters can use SIMD very efficiently with good implementation? Latency isn't that much of a problem. 64 tap filter (2x) is like 1.5ms roundtrip and is pretty much negligible, unless there are lots of oversampled plugins in a chain. Also, going past 128 taps for oversampling is way beyond diminishing returns, so might aswell not bother. High order IIRs are prone to numerical issues and are way harder for CPUs, because they include long dependency chains in it's computations. FIRs don't have that problem at all IF implemented correctly. Ah, and yes, min-phase FIRs are possible as well, and their implementation is pretty much identical other than the fact that the kernel must be min-phased. But latency benefits are not all that great. Also, multistage oversampling is kinda not worth it, single stage is simpler to design and performance is pretty much the same if not better.

GG

Very interesting and provides a lot of knowledge. Thanks man!

GRRRRRRRREAT Stuff, Sam. Thanks!!

Andrew what a genius

I’d like to remind the author that oversampling and upsampling are different concepts

Is this presentation available for download?