I have my model trained successfully finally! running it in max with nn~ just fine, few latency ~50ms. May I know how long is your dataset and what is the content? i didn't separate my tracks into single instrument so it sounds experimental.... thanks!
The model used in this video is trained on music I wrote in the past 20 years under various aliases and augmented from 7-8h into somewhat around 2-3 days of audio material.
so cool! 7-8 hours thats crazy long! on google GPU? I heard 2 hours is sufficient. Do you separate your songs to multitracks like bass drums, drones, snares etc to optimal the result?@@martsm_n
It just means I'm using all the music I have ever written under different artist names. Also, simply put, I'm sometimes augmenting the audio datasets to become bigger.@@ShihWeiChieh
siick
I have my model trained successfully finally! running it in max with nn~ just fine, few latency ~50ms. May I know how long is your dataset and what is the content? i didn't separate my tracks into single instrument so it sounds experimental.... thanks!
The model used in this video is trained on music I wrote in the past 20 years under various aliases and augmented from 7-8h into somewhat around 2-3 days of audio material.
so cool! 7-8 hours thats crazy long! on google GPU? I heard 2 hours is sufficient. Do you separate your songs to multitracks like bass drums, drones, snares etc to optimal the result?@@martsm_n
@@martsm_n sorry I didn’t understand “under various aliases and augumented”…
It just means I'm using all the music I have ever written under different artist names.
Also, simply put, I'm sometimes augmenting the audio datasets to become bigger.@@ShihWeiChieh