Vocal separation with Moises.ai

Demo summary
The narrator plays back a vocal track separated by Moises.ai, highlighting its brighter tonality and different fade-out characteristics compared to other models.
Step-by-step
- Toggle the Moises track on to hear the separated vocal
- Compare the vocal tonality against other models
- Observe the visual waveform lines to identify the fade-out pattern
- Listen for artifacts and gurgling noises between vocal breaks
Watch out for
- The separation includes artifacts like gurgling between breaks, clicking, and noise pops
Tips
- Look at the waveform lines to confirm if a fade-out is gradual or sudden
- Use Moises if you want to retain the original bright and 'crispy' tonalities of the vocals
Highlights
“It's a lot more crispy a lot brighter a lot more live alive”
All demos from “Latest STEM/Track Separation Models: Moises.ai vs. LALAL.ai”
6:511:16Vocal separation with LALAL.ai Orion (Gen 4)The narrator demonstrates the vocal isolation capabilities of the LALAL.ai Orion model, pointing out specific artifacts and frequency loss in the resulting audio.Lalal.Ai· AI Vocal Remover & Stem Splitter
9:441:23Vocal separation with Moises.aiCurrentThe narrator plays back a vocal track separated by Moises.ai, highlighting its brighter tonality and different fade-out characteristics compared to other models.Moises· AI Vocal Remover & Stem Splitter- Watch “Latest STEM/Track Separation Models: Moises.ai vs. LALAL.ai” →
AI Vocal Remover & Stem Splitter
2:420:51Isolate stems and generate metronome in MoisesThe producer demonstrates the Moises interface, showing how the app has automatically split a single audio file into separate vocal and guitar stems while generating a smart metronome track.Moises
11:001:19Full song stem separationThe narrator drags a full song into the interface and uses stem separation to isolate lead vocals, bass, rhythm guitar, and drums into individual tracks.BenoniStudio
8:290:25Splitting audio into stemsThe user demonstrates the stem splitting feature to separate a vocal and guitar from a single demo track within the AI Studio interface.Spinlight Studio
14:270:30Advanced drum stem separationThe user demonstrates how to take a generated drum track and further split it into individual stems for kick, snare, and hi-hats for more granular control.Spinlight Studio
22:204:17Hi-Fi Stem Separation and Chord DetectionThe user demonstrates isolating vocals and instruments from a finished track while showing the real-time chord detection, capo adjustment, and section looping features.Home Studio Simplified
26:523:30Advanced Multi-Track Stem ExtractionThe presenter shows how to extract specific instrument tracks (bass, drums, electric vs. acoustic guitar) from a complex 30-track song using Moises' AI separation algorithm.Home Studio Simplified
3:181:14Basic stem separation in Moises AIThe creator imports a track into the Moises web app and demonstrates separating it into bass, guitar, drums, and keys, then uses faders to mute specific instruments.Rob Brown
4:371:34Individual drum stem separationUsing the Moises Pro features, the user demonstrates further separating a drum track into individual components like kick, snare, toms, and hi-hats for granular control.Rob Brown
9:441:23Vocal separation with Moises.aiCurrentThe narrator plays back a vocal track separated by Moises.ai, highlighting its brighter tonality and different fade-out characteristics compared to other models.My Keys To Music
11:160:32Separate drum stems into individual tracksThe user demonstrates how to use the 'separate stems' feature to break a drum track into individual kick, snare, hi-hat, and cymbal files for use in a DAW.SEIDS
8:030:59Separate drum stems into individual tracksThe user utilizes the stem separation tool to break a single mixed drum track into individual components like kick, snare, toms, and cymbals for fine-tuning.Andrew Clarke
1:280:52Separate stems with Moises Track SeparationThe user uploads a song to Moises, selects specific vocal and piano stems for extraction, and reviews the resulting isolated tracks.Oliver Gearing