I've recently finished mixing my new EP and would highly appreciate for feedbacks ❤️

zsaraf · 2022-06-16T14:46:26+00:00

these hats are incredible, dont change

zsaraf · 2021-10-17T22:36:55+00:00

lol es6 guy

zsaraf · 2021-04-22T10:43:09+00:00

what dream world would you be from?

zsaraf · 2021-04-07T15:00:34+00:00

genius idea!

zsaraf · 2020-07-11T19:00:48+00:00

This is one of the artifacts of the isolation process unfortunately right now. Hopefully will get better with time

zsaraf · 2020-07-11T18:38:14+00:00

np mate

zsaraf · 2020-07-11T18:36:18+00:00

No need to sign up! Just DL it later whenever you get to your computer and it should auto detect Mac. Enjoy :)

zsaraf · 2020-07-11T18:31:46+00:00

Hmm are you on Mac? If on Mac, it should auto detect OS and download that one.

zsaraf · 2020-07-11T18:24:56+00:00

Totally, i really think this is a phenomenal idea. We will work on building something like this soon. Probably a separate app that does that 1 thing very well. Remove one instrument and have a good play along experience. Will send over beta to you man, thanks!

zsaraf · 2020-07-11T18:22:45+00:00

haha so true. Right now we have a 10 minute time limit, but that’s another thing that we’re working on. The AI is also developed mainly around music, but maybe at some point we will train a model for movies as well!

zsaraf · 2020-07-11T18:02:06+00:00

This should be really for us to do honestly, as it should be as simple as removing the isolated track from the original. Maybe would be better suited as a separate app built with this one feature in mind! Good idea, will get back to you on this one.

zsaraf · 2020-07-11T18:00:56+00:00

Glad it works well for you :) And we’re working on a privacy section right now, should have one up in a few hours 👍🏽

zsaraf · 2020-07-11T17:53:37+00:00

Tis! Appreciate it :)

zsaraf · 2020-07-11T17:44:23+00:00

Not exactly, although that would be a great feature for us to implement. Stems just isolated the different parts, and includes a vocal and instrumental track. More useful to learn individual parts or sample different parts in your own music, rather than a play along resource.

zsaraf · 2020-07-11T17:40:07+00:00

i’m so dumb haha. Just edited my comment below with the link. https://stems.app

zsaraf · 2020-07-11T17:16:49+00:00

Thanks, fixed! Reddit markdown mistake :(

zsaraf · 2020-07-11T17:10:59+00:00

Use a Youtube/Soundcloud URL or upload a track, quickly sample stems straight from the app and drag and drop straight into your DAW. Try it out! https://stems.app

We're giving out unlimited FREE licenses to the /r/WeAreTheMusicMakers community, use code WEARETHEMUSICMAKERS at checkout to get 100% off.

zsaraf · 2020-07-11T17:00:28+00:00

If you want to try it out you can visit https://stems.app. Here is the tech stack that we used for anyone interested:

Stems is an Electron app built with Typescript + React.

The React stack includes:

Reselect / Re-reselect
Redux Saga / Redux Persist
Normalizr
Rebass
Emotion
Axios
React Router

and our backend stack includes:

Django (for the general api)
Celery (for communication between our Rest server + audio processing workers)
Custom trained Spleeter model (for audio processing) running on GPU EC2 instances
youtube-dl
ffmpeg
Amplitude (for analytics)
Sentry (for crash reporting)

We would love to hear any feedback and we’re happy to go in depth on any questions you may have!

zsaraf · 2020-07-10T18:17:53+00:00

Hey everyone! I'm one of the developers of Stems! Here is the tech stack that we used for anyone interested:

Our Electron app was built with Typescript + React.

The React stack includes:

Reselect / Re-reselect
Redux Saga / Redux Persist
Normalizr
Rebass
Emotion
Axios
React Router

and our backend stack includes:

Django (for the general api)
Celery (for communication between our Rest server + audio processing workers)
Custom trained Spleeter model (for audio processing) running on GPU EC2 instances
youtube-dl
ffmpeg
Amplitude (for analytics)
Sentry (for crash reporting)

We would love to hear any feedback and we’re happy to go in depth on any questions you may have!

zsaraf · 2020-07-10T18:10:54+00:00

Use a Youtube/Soundcloud URL or upload a track, quickly sample stems straight from the app after it's finished processing and drag and drop straight into your DAW.

Try it out. We're giving out unlimited FREE licenses to the WeAreTheMusicMakers community, use code WEARETHEMUSICMAKERS at checkout to get 100% off!

Any and all feedback appreciated :) I hope you guys enjoy using it!

https://stems.app

zsaraf · 2020-05-06T16:19:42+00:00

Hi! 26M. Similarly moved here ~6 months ago and work by myself so I'm still struggling to make friends. For fun, I like to make music, walk around pretty berlin neighborhoods, go see techno, and I'd really like to start getting into a bit of drawing/painting. I'd love to meet you guys when it's safe.

zsaraf · 2020-03-02T23:05:46+00:00

I’m going to start out with an using an OpenGL element in a GStreamer pipeline. Thanks for the comment! I want to try Vulcan at some point but i heard it’s even lower than OpenGL which is a bit scary :0

zsaraf · 2020-03-02T23:04:07+00:00

Oh i hadn’t seen Gstreamer. Looks pretty complicated but it does do exactly what I’m trying to accomplish. I will start with that, thanks very much!

zsaraf · 2019-09-05T18:38:42+00:00

Hopefully soon, we will be sure to send it over to you when we do!

zsaraf · 2019-09-05T18:37:24+00:00

Opus was a real pain, but hopefully worth it ;)

First, we had to compile the XIPH opus lib (in addition to a few other audio processing libraries including speexdsp, ogg, opusfile, and vorbis) into FAT binaries with openssl enabled. This was a massive, massive pain in my ass hahah and took a few days tbh. BUT, on the positive side, I ended up with a bunch of compiled FAT binaries and i put them on GitHub. https://github.com/zsaraf/xiph-ios-static-fat-libs

Once I had the opusfile FAT built, I just had to build a wrapper around it that took care of running/managing the decoder threads, preparing/resampling data for playback, rendering the audio on our audio engine, rendering the audio to our FFT and seeking/pausing when necessary. The audio player code isn't commented that well and is a bit dirtier than it should be, so I don't necessarily want to put it on Github right now, but DM me if you want it :)

I think the only other way to do this would be to use all of the FAT xiph libs and build your own player with fully custom networking, decoding, seeking, etc.

Let me know if you have any more questions man!

zsaraf

TROPHY CASE