Text to SpeechQuery Akuluakulu Muzika Kusintha mawu kukhala malemba Chizindikiro cha mawu Zambiri

AI Stem Splitter

Kugawa nyimbo iliyonse m'magulu amodzi: mawu, ma drums, bass, gitara, piano, ndi zina zambiri. Powered by state-of-the-art AI for music production, remixing, and practice.

Kulembetsa kwaulere

Upload Music Track

3-5 malipiro pa nyimbo

Drag & drop wanu fayilo apa, kapena browse

Supports MP3, WAV, FLAC, OGG, M4A. Max 50MB. Songs up to 10 minutes.

file.mp3

0 MB
— kapena kujambula kuchokera pa mikwingwirima yanu —
00:00

Zosankha Zogawidwa za Stem

Meta
Kugwiritsa ntchito WAV kapena FLAC ngati mukukonzekera kutumiza masamba m'ma DAW kwa kuwonjezera kusintha ndi kuphatikizika.
Kugawidwa kwaulere kwa 2-stem kulipo

Kugawa nyimbo yanu m'magawo...

Kugwiritsa ntchito Demucs v4 kwa 4 Stems
Stem Kugawa Kumaliza

Vokali

0:00 0:00

Drums

0:00 0:00

Bass

0:00 0:00

Guitar

0:00 0:00

Piano

0:00 0:00

Ena

0:00 0:00
Stems Amapangidwa 4
Avg SDR 7.8 dB
Song Duration 4:12
Nthawi yogwiritsira ntchito 18.3s

Kodi ndi chiyani Audio Stems?

Audio stems ndi chida chapadera kapena ma tracks a vokali omwe amapanga nyimbo. Music ya Professional imakhala yophatikizidwa kuchokera ku makumi ambiri a ma tracks apadera, koma kugawa kwa stem kumagwiritsa ntchito AI kuti abwezeretse mgwirizano ndi kutulutsa zinthu zazikulu.

Vokali Kuimba, rapping, harmonies, backing vocals, ad-libs
Drums Kick, snare, hi-hats, cymbals, toms, percussion
Bass Bass gitara, synth bass, sub bass, 808s
Guitar Electric gitara, acoustic gitara, ukulele (6-mtima)
Piano Piano, zilembo, organ, synth pads (6-mtima)
Ena Zinthu zonse zina: ma strings, brass, synths, zotsatira

Model Deta

Ovomerezeka Demucs v4

Meta AI's Hybrid Transformer Demucs is the current state-of-the-art for music source separation. It combines time-domain and frequency-domain processing with transformer attention layers for superior separation quality and minimal artifacts across all stem types.

Masamba: 2, 4, or 6 | Speed: Median | Quality:

Free Spleeter

Deezer

Masamba: 2 or 4 | Speed: Mofulumira | Quality:

Malangizo kwa Best Results

  • Kugwiritsa ntchito
  • Kugwiritsa ntchito
  • Mavidiyo ndi
  • Kutumiza kunja
  • Kwa

Momwe AI Stem Splitting imagwira ntchito

Mapulogalamu athu a deep learning amafufuza ma patterns a spectral ndi temporal mu nyimbo yanu kuti muchepetse mabungwe osiyanasiyana a zida ndi kuthekera kwakukulu.

Gawo 1

Upload wanu Track

Drag ndi drop wanu nyimbo fayilo m'chilankhulo chilichonse audio mtundu. Tikuvomereza MP3, WAV, FLAC, OGG, ndi M4A owona mpaka 50MB. Kwa zotsatira zabwino, kugwiritsa ntchito lossless mtundu monga WAV kapena FLAC.

Gawo 2

AI imatenga mbali iliyonse ya Stem

Demucs amagwiritsa ntchito ma waveform onse anthawi-domain processing ndi spectrogram analysis ndi chidwi cha transformer kuti achepetse bwinobwino ma frequencies ophatikizika pakati pa zida.Demucs amagwiritsa ntchito ma waveform onse anthawi-domain processing ndi spectrogram analysis ndi chidwi cha transformer kuti achepetse bwinobwino ma frequencies ophatikizika pakati pa zida.

Gawo 3

Preview & Download Stems

Mtundu uliwonse womwe umatulutsidwa umalandira wosewera wake wa audio kuti muthe kuwunikira zida zazing'ono m'malo mwake. Solo kapena mute ma stems okhudzana kuti mumvetse momwe amalumikizana. Mutha kutsitsa ma stems onse mosiyana kapena kuwatenga onse m'mafayilo a ZIP omwe ali okonzeka kutumiza ku DAW yanu.

Stem Splitting Kugwiritsa ntchito Cases

AI-powered stem splitting ikugwiritsidwa ntchito popanga nyimbo, kuphunzitsa, ndi ntchito zopanga ntchito m'makampani onse.

Music Production & Remixing

Kuchotsa ma stems osiyanasiyana kuti apange remixes, mashups, ndi makonzedwe atsopano. Sampuli ya drum patterns, bass lines, kapena vocal hooks kuchokera ku zolemba zomwe zilipo. Layer stems kuchokera ku nyimbo zosiyanasiyana kuti apange kupanga kokha. Chofunika kwambiri kwa opanga ntchito ndi reference tracks kapena kupanga remixes ovomerezeka.

DJ Sewerani & Performance

Yambitsani masamba a acapella, ma breaks osiyana ndi ma drums, ndi machitidwe a bass-only kuti agwirizane mosalekeza. Kukhazikitsa maulendo osintha omwe amalumikizana bwino ndi nyimbo. Mix vocal stems kuchokera ku track imodzi kupita ku instrumental ya winawake kwa ma mashups osiyanasiyana.

Practice & Kuphunzira

Ikani mbali zina za zida zosiyanasiyana kuti muzigwiritsa ntchito. Drummers amatha kuletsa nyimbo ya drum ndi kusewera limodzi ndi ena a gulu. Bassists amatha kuika mbali ya bass kuti adziwe njira. Guitarists amatha kuchotsa mbali za gitaro kuti adziwe solos ndi chords progressions ndi dzanja.

Chikhalidwe cha Music

Kugawa nyimbo m'makompyuta kwa kuyankha mafunso a maphunziro a nyimbo. Kuthandiza ophunzira kumvetsa mmene zipangizo zimagwira ntchito m'maphunziro a nyimbo. Kusonyeza njira zopangira nyimbo posonyeza mmene makompyuta amathandiza kulenga nyimbo yomaliza. Kulenga maphunziro a nyimbo apadera kwa maphunziro a nyimbo.

Sampling & Sound Design

M'malo mwake, imakupatsani mwayi kuti mupange masamba osiyanasiyana a nyimbo ndi masamba osiyanasiyana a nyimbo. M'malo mwake, imakupatsani mwayi kuti mupange masamba osiyanasiyana a nyimbo ndi masamba osiyanasiyana a nyimbo. M'malo mwake, imakupatsani mwayi kuti mupange masamba a nyimbo ndi masamba osiyanasiyana a nyimbo.

Film & Media Post-Production

Yamba ma stems a nyimbo za kanema ndi TV pambuyo popanga. Sinthani kusiyana pakati pa ma vokali ndi zida m'mitundu ya soundtrack. Pangani zigawo za zida za nyimbo zovomerezeka kuti zigwiritsidwe ntchito m'mbuyomu. Ikani zinthu zina zapadera za ma sound design ndi ntchito ya Foley mukupanga makanema.

Karaoke & Cover Versions

Gawo 2: Yambitsani karaoke backing tracks bwino ndi kuchotsa vocals. Record vocals anu okha pa zipangizo zoyambirira zoikamo. Kugwiritsa ntchito drum ndi bass stems monga rythm gawo backing tracks kwa akustikali performances kapena band rehearsals. Kukhazikitsa zosiyanasiyana backing tracks kwa moyo kusonyeza.

Audio Analysis & Kulemba

Ikani ma stems kuti mupange ma transkripsi oyenera a m'mawu. Muzimvetsera bwino zinthu za m'mawu za m'mawu. Chitani kafukufuku wa njira zosakaniza pophunzira momwe ma stems onse amapangidwira. Perfect for musicologists, transcription services, and arrangement analysis.

The Most Powerful Free Stem Splitter pa Intaneti

Mpaka 6 Stem Kugawidwa

Ngakhale kuti ambiri mwa ma splitters a stem omwe ali pa intaneti amapereka ma 2 kapena 4 stem modes, TTS.ai amathandizira kugawidwa kwa 6-stem komwe kumatulutsa ma vocals, ma drums, ma bass, ma guitar, ma piano, ndi zida zina.

Kugawa kwaulere kwa 2-Stem

Kuyamba kwaulere ndi kugawidwa kwa 2-stem komwe kumagwiritsidwa ntchito ndi Spleeter. Gawani nyimbo iliyonse ku vocals ndi instrumental popanda kukhazikitsa akaunti kapena kugwiritsa ntchito ma credits. Free tier ilibe ma watermarks, palibe zoletsa zamtundu, komanso palibe zoletsa za tsiku ndi tsiku. Upgrade kuti mupeze ma 4 ndi 6 stem modes ndi Demucs kuti mupeze mtundu wabwino kwambiri ndi granularity.

Kugwiritsa ntchito kwa GPU- Accelerated

TTS.ai imagwira ntchito pa ma GPU a NVIDIA osankhidwa kuti akwaniritse magwiridwe antchito mofulumira komanso mogwirizana. M'malo mwake, nyimbo ya 4-mphindi imagawidwa m'magawo 4 m'masekondi 20 ndi Demucs, kapena m'masekondi 5 ndi Spleeter. Momwe 6-stem imatenga nthawi ya 30-45 masekondi malinga ndi kusowa kwa nyimbo ndi kukula kwake.

REST API ya Batch Processing

Sinthani mabuku onse a nyimbo mwanjira ya programmatic ndi API yathu yopanga mapulogalamu. Pangani kugawa kwa stem kudzera m'mapulogalamu anu, zida zopanga nyimbo, kapena njira zopezera ntchito za DJ. API imathandizira zonse zomwe zimawerengedwa ndi stem, ma Demucs ndi Spleeter models, ndi mitundu yambiri yazotulutsa.

Funso Lofunsidwa Kawirikawiri

Stem splitting separates a mixed audio track into individual components (stems): vocals, drums, bass, and other instruments. This is invaluable for music production, remixing, sampling, transcription, and karaoke.

Demucs supports 2-stem (vocals + instruments), 4-stem (vocals, drums, bass, other), and 6-stem separation. Spleeter offers 2-stem and 5-stem (vocals, drums, bass, piano, other) separation.

Demucs (Meta AI) produces higher quality separation and is recommended for most use cases. Spleeter (Deezer) is faster and works well for quick separation tasks. For professional results, use Demucs.

Demucs v4 achieves state-of-the-art separation quality, producing clean individual stems suitable for professional remixing and production. Some bleed-through between stems is normal, especially on heavily layered mixes, but quality is excellent for most applications.

Processing time depends on the track length and number of stems. A typical 4-minute song takes 20-60 seconds for 4-stem separation with Demucs. Spleeter is faster at 10-30 seconds but with slightly lower quality.

The stem splitting tool itself can be used commercially. However, you must have the rights to the original audio. Separating copyrighted music does not grant you new rights to the individual stems — copyright still applies to the source material.

Batch processing is available via our API, allowing you to submit multiple tracks for stem separation in an automated workflow. The web interface handles one track at a time with instant preview and download of all stems.

The 4-stem and 6-stem modes include an "other" category that captures guitars, synths, keyboards, and other instruments grouped together. For piano-specific separation, use Spleeter's 5-stem mode which includes a dedicated piano stem.

Yes, each stem is exported as a separate audio file that can be imported into any DAW (Ableton, Logic Pro, FL Studio, etc.) for remixing. Adjust levels, add effects, or replace individual stems to create new arrangements.

Stem kugawidwa amagwiritsa ntchito 2 ngongole pa track processed. Free akaunti kulandira 50 ngongole pa signup.All analipira mipango kuphatikiza zopatsa ndalama ngongole kwa kugwiritsa ntchito mobwerezabwereza.

We accept MP3, WAV, FLAC, OGG, M4A, and WEBM files up to 50MB. For best separation quality, upload lossless formats (WAV, FLAC). Output stems are provided in WAV format to preserve maximum quality.

Our tool uses Demucs v4 by Meta AI, which is consistently ranked as the best open-source audio source separation model. It outperforms older spectral methods and most competing AI tools in independent blind listening tests.
5.0/5 (1)

Split iliyonse Song mu Stems kwaulere

Join mamiliyoni a oimba ndi opanga pogwiritsa ntchito TTS.ai. Free 2-steem kugawa ali pano. Pezani 50 ngongole ndi ufulu akaunti kwa 4 ndi 6 stem modes.

Kulembetsa kwaulere Onani mtengo