The world of AI and Machine learning has been growing for a while now.
Artificial intelligence is being used all around the world for many routine and non-routine processes. AI being introduced into the world of Sound, production and Design is not a major surprise, it was bound to happen. Many DJs often use audio splitting programs for their mashups, bootlegs or just for the sake of acquiring the acapella which will be used in their sets. Since dance music is not exactly mainstream, finding acapella or an instrumental for a fairly unknown track is a herculean task. This is where the next generation audio splitter lalal.ai steps in.
Lalal.ai is an online audio splitter that extracts vocals and instrumental stems at a moment’s notice. Users can kick back and upload the track while the AI-powered audio splitter does all the heavy lifting for them at lightning speeds.
Lalal.ai was trained on 20TB of data with 45 million neural network parameters to achieve superior audio splitting results. Just like humans, Artificial Intelligence has its own “models” that describe particular behaviour and properties of the said task. Using these “models”, the task is carried out.
In the case of audio splitting, most competitors in the market use pre-trained models for stem separation and audio isolation. Pre-trained models perform the same task without reaching towards optimization or development of its procedure. In simple terms, the precision of their audio splitting capabilities will not improve over the period of time. Lalal.ai is on its own league.
With self-evolving learning capabilities, this AI audio splitter sharpens its audio-cutting swords every time it splits a track into stems. Because of this learning capability, Lalal.ai triumphs over its mainstream counterparts like Spleeter by Deezer and PhonicMind.
Being geeks ourselves, we took the liberty of splitting a few tracks using Lalal.ai and the results were pretty promising. We tried splitting various electronic music records that feature vocals which are treated with different effects. The level of precision was consistent across all the tracks and showed a cleaner result compared to its market counterparts.
While Single and Lite packages are more than adequate for most music producers or listeners in general, one can always prefer the Professional tier for superior audio isolation and higher file size limit.
We can also opt for the On-Demand package which allows us to customize our plan and opt for the most suitable audio isolation. The price for this package is negotiable.
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