Ensemble of best vocal models. Algorithm gives the highest possible quality for vocal and instrumental stems. The latest ensemble consists of BSRoformer, MelRoformer and SCNet XL vocal models.
Voix Utilisation mensuelle: 4 919, Classement mensuel: 3.9333 (15 votes)This ensemble is based on algorithm which took 2nd place at Music Demixing Track of Sound Demixing Challenge 2023. The main changes comparing to contest version is much better individual stem models.
Voix Batterie Bass Utilisation mensuelle: 1 419, Classement mensuel: 3.5000 (2 votes)It's Ensemble (vocals, instrum, bass, drums, other) + more models included like guitars, piano, back/lead vocals and drumsep.
En vedette Voix Batterie Bass Piano Guitare Utilisation mensuelle: 2 694, Classement mensuel: 5.0000 (3 votes)BS Roformer SW model, which generates 6 stems at once with superior quality.
En vedette Voix Batterie Bass Piano Guitare Utilisation mensuelle: 45 716, Classement mensuel: 4.7248 (258 votes)BS Roformer model. Excellent quality for vocals/instrumental separation.
Voix Utilisation mensuelle: 55 796, Classement mensuel: 4.6644 (146 votes)Algorithm for separating tracks into vocal and instrumental parts based on the MelBand Roformer neural network
Voix Utilisation mensuelle: 42 285, Classement mensuel: 4.5443 (158 votes)Set of MDX23C models which is based on code released by kuielab for Sound Demixing Challenge 2023. Very good for vocals/instrumental separation.
Voix Utilisation mensuelle: 7 668, Classement mensuel: 4.5238 (21 votes)Algorithm for separating tracks into vocal and instrumental parts based on the SCNet neural network
Voix Utilisation mensuelle: 4 238, Classement mensuel: 3.6250 (8 votes)Algorithm Demucs4 HT. It's fast and gives relatively good quality for bass/drums/other stems.
Voix Batterie Bass Utilisation mensuelle: 28 576, Classement mensuel: 4.8344 (163 votes)MDX B models are based on kuielab code from Music Demixing Challenge 2021. Models were retrained by UVR team on big dataset. For long time models were best for vocals/instrumental separation.
Voix Utilisation mensuelle: 3 051, Classement mensuel: 4.4000 (5 votes)A set of models from the Ultimate Vocal Remover program, which are based on the old VR architecture. Most of the models are vocal, but there are also special models for karaoke, piano, removing reverberation effects, etc.
Voix Utilisation mensuelle: 11 542, Classement mensuel: 4.0714 (14 votes)Demucs4 Vocals 2023 model - it's Demucs4 HT model fine-tuned on big vocals dataset.
Voix Utilisation mensuelle: 1 787, Classement mensuel: 4.6250 (8 votes)The MDX-B Karaoke model was prepared as part of the Ultimate Vocal Remover project. The model produces high-quality lead vocal extraction from a music track.
Voix Utilisation mensuelle: 12 694, Classement mensuel: 4.1622 (37 votes)Algorithm for extracting only lead vocals and everything else based on the MelBand Roformer model.
Voix Utilisation mensuelle: 22 799, Classement mensuel: 4.5411 (146 votes)MVSep Piano model is based on MDX23C, MelRoformer and SCNet Large architectures. It produces high quality separation for piano and other stems.
Piano Utilisation mensuelle: 5 652, Classement mensuel: 4.3889 (18 votes)The MVSep Guitar model produces high-quality separation of music into a guitar part (including acoustic and electronic) and everything else.
Guitare Utilisation mensuelle: 11 331, Classement mensuel: 4.8261 (46 votes)The MVSep Bass model produces high-quality separation of music into a bass part and everything else.
Bass Utilisation mensuelle: 8 500, Classement mensuel: 4.8095 (21 votes)The MVSep Drums model produces high-quality separation of music into a drums part and everything else.
Batterie Utilisation mensuelle: 13 740, Classement mensuel: 4.9091 (11 votes)The MVSep Strings model is a model based on the MDX23C architecture for separating music into bowed string instruments and everything else.
Utilisation mensuelle: 4 027, Classement mensuel: 4.4444 (9 votes)The MVSep Wind model produces high-quality separation of music into a wind part and everything else.
Utilisation mensuelle: 4 249, Classement mensuel: 4.0714 (14 votes)The MVSep Organ model produces high-quality separation of music into an organ part and everything else.
Utilisation mensuelle: 1 918, Classement mensuel: 5.0000 (5 votes)No data found
Utilisation mensuelle: 1 952, Classement mensuel: 4.4286 (7 votes)The algorithm restores the quality of audio. For example MP3 files compressed to 128 kbps or lower and other types.
Super résolution Utilisation mensuelle: 9 840, Classement mensuel: 4.9086 (339 votes)Set of different models to remove reverberation effect from music.
Utilisation mensuelle: 8 292, Classement mensuel: 2.0000 (4 votes)An unique model for removing crowd sounds from music recordings (applause, clapping, whistling, noise, laugh etc.).
Utilisation mensuelle: 7 238, Classement mensuel: 4.3636 (11 votes)No data found
Utilisation mensuelle: 3 958, Classement mensuel: 2.3333 (6 votes)BandIt Plus model for separating tracks into speech, music and effects.
Utilisation mensuelle: 3 029, Classement mensuel: 2.4118 (17 votes)Bandit v2 is a model for cinematic audio source separation in 3 stems: speech, music, effects/sfx. It was trained on DnR v3 dataset.
Utilisation mensuelle: 1 990, Classement mensuel: 1.0000 (2 votes)MVSep DnR v3 is a cinematic model for splitting tracks into 3 stems: music, sfx and speech.
Utilisation mensuelle: 33 114, Classement mensuel: 2.2857 (14 votes)The DrumSep model divides the drum track into several types: 'kick', 'snare', 'toms', 'cymbals' (it includes 'hh', 'ride', 'crash').
Batterie Utilisation mensuelle: 7 449, Classement mensuel: 5.0000 (20 votes)No data found
Utilisation mensuelle: 7 535, Classement mensuel: 3.4091 (22 votes)Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation.
Utilisation mensuelle: 1 025, Classement mensuel: 3.0000 (6 votes)Medley Vox is an algorithm for separating multiple singers within a single music track and evaluation dataset for this task.
Voix Utilisation mensuelle: 5 048, Classement mensuel: 1.6250 (8 votes)MVSep Multichannel BS - uses the best vocal model to extract sound from multi-channel audio (5.1, 7.1, etc.).
Voix Utilisation mensuelle: 1 872, Classement mensuel: 5.0000 (7 votes)A model for separating male and female voices within a single vocal track. The track should contain only voices, no music.
Voix Utilisation mensuelle: 4 448, Classement mensuel: 5.0000 (5 votes)No data found
Voix Batterie Bass Utilisation mensuelle: 192, Classement mensuel: 0 (0 votes)Algorithm Demucs3 (A and B versions)
Voix Batterie Bass Utilisation mensuelle: 281, Classement mensuel: 0 (0 votes)Experimental model VitLarge23 based on Vision Transformers. In terms of metrics, it is slightly inferior to the MDX23C, but may work better in some cases.
Voix Utilisation mensuelle: 159, Classement mensuel: 0 (0 votes)No data found
Voix Utilisation mensuelle: 109, Classement mensuel: 0 (0 votes)No data found
Utilisation mensuelle: 240, Classement mensuel: 0 (0 votes)No data found
Voix Utilisation mensuelle: 116, Classement mensuel: 0 (0 votes)No data found
Voix Batterie Bass Utilisation mensuelle: 58, Classement mensuel: 0 (0 votes)No data found
Voix Batterie Bass Utilisation mensuelle: 29, Classement mensuel: 0 (0 votes)No data found
Voix Batterie Bass Utilisation mensuelle: 68, Classement mensuel: 0 (0 votes)No data found
Utilisation mensuelle: 212, Classement mensuel: 0 (0 votes)No data found
Utilisation mensuelle: 209, Classement mensuel: 0 (0 votes)No data found
Utilisation mensuelle: 110, Classement mensuel: 0 (0 votes)The LarsNet model divides the drums stem into 5 types: 'kick', 'snare', 'cymbals', 'toms', 'hihat'.
Batterie Utilisation mensuelle: 380, Classement mensuel: 5.0000 (1 votes)Generating audio based on a given text prompt
Utilisation mensuelle: 860, Classement mensuel: 2.2857 (7 votes)MVSep MultiSpeaker (MDX23C) - this model tries to isolate the most loud voice from all other voices.
Utilisation mensuelle: 688, Classement mensuel: 0 (0 votes)The algorithm adds "whispering" effect to vocals.
Utilisation mensuelle: 399, Classement mensuel: 5.0000 (1 votes)Algorithm AudioSR: Versatile Audio Super-resolution at Scale. Algorithm restores high frequencies.
Super résolution Utilisation mensuelle: 6 545, Classement mensuel: 3.8571 (7 votes)No data found
Utilisation mensuelle: 3 382, Classement mensuel: 5.0000 (2 votes)FlashSR - audio super resolution algorithm for restoring high frequencies
Super résolution Utilisation mensuelle: 3 496, Classement mensuel: 4.4211 (19 votes) Aucune donnée n'a été trouvée Revenir à l'ancienne sélectionFichiers non traités dans la file d'attente : 19. Actuellement traité avec le GPU : 10
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