Susa umsindo ovela emuva nge-AI

Nciphisa noma iyiphi ingoma, lalela ngaphambi & ngemuva kwezisekhondi. Imahhala, akukho ubhaliso.

🎧

Thola ihele lomsindo noma ihele levidiyo lapha

noma

MP3, WAV, M4A, FLAC, OGG, AAC, MP4, MOV

Umbala Enamandla

Nciphisa ukuchofoza okuncane uma umsindo usuqedile.

Ukuhlanza umsindo wakho…

Imiphumela yakho ixhunywe
Phambi

Usizo: Chofoza isikhala sokuvula/savala phambi/emuva.

Layisha phezulu izimpande
Layisha ngezansi umsindo ohlanziwe Bhala kuhele obukhulu

Idemo emahhala ihlanza ama-clip ancane. Ngena kuhele obukhulu, zonke izinhlobo nethuluzi ngalinye.

✓ Akukho kufakwa, isebenza kwisiphequluli sakho ✓ Igcina umsindo wakho ujwayelekile ✓ Amafayela asuswa ngokuzenzakalela
29
amathuluzi akhethekile
< 60s
Isikhathi esijwayelekile sokuhlanza
8
Amafomethi omsindo nevidiyo

Indlela esebenza ngayo

1

Layisha umsindo wakho

Ukudonsa ku MP3, WAV, M4A noma ngisho nefayela levidiyo — sizokhipha umsindo kuwe.

2

AI ihlanza

Amamodeli ethu asusa umsindo ngenkathi egcina umsindo wakho ojwayelekile — akukho izilungiselelo ezidinga ukucindezeleka.

3

Uhlu lwezilungiselelo

A/B isiqongo esiyinhloko ku-track ehlanzwe, bese ulanda kwifomethi oyikhethile.

Imibuzo ebuzwa kaningi

Yebo - ungahlanza ama-clip ancane ngokukhululekile ngaphandle kokubhalisa. Ngena kuhele obukhulu, wonke amathuluzi kanye nanoma yiziphi ifomu le-output.

Yebo. Abagcini be-denoiser bethu basebenzisa umphumela oqinile wokusakaza ojwayelekile, hhayi ukuvala ama-gates wonke, ngakho-ke i-noise floor iphansi ngenkathi umsindo wakho ugcina umsindo wakhe ojwayelekile.

MP3, WAV, M4A, FLAC, OGG kanye AAC umsindo, kanye MP4 kanye MOV video - sizokhipha futhi sihlanze umsindo track.

Ukufaka kwakho kusetshenziswa kuphela ukukhiqiza imiphumela ehlanzekile futhi kususwa ngokuzenzakalela ngemuva. Asisebenzisi ukuqeqesha imodeli yethu.

Ithuluzi ngalinye lisebenza ngepayipi elikhethekile ku-GPUs yethu: ifayela lakho liqokwa, umsindo udlula ngemodeli ehlobene nenkinga eyodwa, futhi umculo ohlanziwe ubuyiselwa. I-AI engines ngaphansi kwe-hood yimibukiso evulekile: DeepFilterNet yokususa umsindo, Mel-Band RoFormer ne SCNet yokuhlukanisa umsindo ne-stem, ne VoiceFixer yokubuyisela, kanye ne-signal-processing filters yethu ye-hum, ukucofoza nobubanzi. Inkonzo ngokwayo ayiwumthombo ovulekile, kodwa sithuthukisa futhi sikhokhela imibukiso evulekile eyenza kube khona.