wowhaa.blogg.se

And now Xtrax Stems 2.1 has better track separation and a new Advanced algorithm.

Even though Xtrax Stems 1.1 had less-than-ideal results, Audionamix probably benefitted from the early adopters who fed music into its database and helped the system improve. The software’s processing takes place in the cloud (which is why you have to be connected to high-speed Internet to use it), so the neural network has the analysis data from all the music Xtrax Stems users feed it. The more data Audionamix feeds into its deep neural network that runs Xtrax Stems, the faster the machine learning improves. Part of the reason I felt confident that Xtrax Stems would get better is because its track-separation technology is based on machine-learning algorithms, and data is the fuel for machine learning. The more data Audionamix feeds into its neural network, the faster the machine learning improves Its processing of fully mixed music into Vocals, Drums, and Music stems is still far from perfect, but the results are much cleaner the processing is faster and there’s a new easy-but-powerful way to adjust the stem results after processing. I’m pleased to say that less than a year later, Xtrax Stems, now at version 2.1, is in fact drastically better. When I reviewed Audionamix Xtrax Stems v1.1 last for DJ Tech Tools last year, the track-separation software didn’t produce the best results, but I was optimistic for its potential to improve its “un-mixing” of music files. System Requirements: Mac OS 10.12 – 10.14 or Windows 7 SP1 – 10 high-speed Internet connection 8GB RAM recommended.AIFF, AAC, MP3, and MP4/M4A audio files are converted to WAV upon import.

Audionamix Xtrax Stems 2 harnesses improving machine-learning algorithms to crank out better vocals, drum parts, and music beds from fully-mixed song files and export them as WAV or Native Instruments Stems files. The dream of one-click a cappella and instrumental tracks may soon be upon us.