Input : Output :

Type :

stereo-stereo

clipper v1.0.0 by Andrew Fyfe Audio clipper. Input : Output : Experimental

Type :

mono-mono

DDSP.sax v1.3.0 by Naotake Masuda DDSP model trained on saxophone sounds Input : Output : Experimental

Type :

mono-mono

DDSP.shakuhachi v1.3.0 by Naotake Masuda DDSP model trained on shakuhachi sounds Input : Output : Experimental

Type :

mono-mono

DDSP.violin v1.3.0 by Naotake Masuda DDSP model trained on violin sounds Input : Output : Experimental

Type :

mono-mono

ddspXsynth v0.1.0 by David Südholt DDSP cross-synthesis model trained on synth data Input : Output : Experimental

Type :

mono-mono

ddspXviolin v0.1.0 by David Südholt DDSP cross-synthesis model trained on violin data Input : Output :

Type :

mono-mono

NeuraFuzz v1.0.0 by Marco Comunità Neural fuzz + Ring modulator Input : Output :

Type :

stereo-stereo

conv1d-overdrive.random v1.0.0 by Nao Tokui Neural distortion/overdrive effect Input : Output :

Type :

mono-mono

RAVE.amen v1.3.0 by Naotake Masuda RAVE timbre transfer model trained on the Amen drum break. Input : Output : Experimental

Type :

mono-mono

RAVE.bird v1.3.0 by Nao Tokui RAVE timbre transfer model trained on field recordings of bird songs. Input : Output :

Type :

stereo-stereo

RAVE.BuddhistChant v1.2.0 by Nao Tokui RAVE timbre transfer model trained on Buddhist chant. Best with soft, sustained sounds in relatively low range. Input : Output :

Type :

stereo-stereo

RAVE.BulgarianFemaleChoir v1.2.0 by Nao Tokui Stereo RAVE timbre transfer model trained on Bulgarian female choir. Input : Output :

Type :

stereo-stereo

RAVE.choir v1.3.0 by Nao Tokui Stereo RAVE timbre transfer model trained on choir sounds. Input : Output :

Type :

mono-mono

RAVE.drumkit v1.3.0 by Naotake Masuda RAVE timbre transfer model trained on drum performances.. Input : Output :

Type :

mono-mono

RAVE.evoice v1.3.0 by Antoine Caillon RAVE model trained on English speech. Input : Output :

Type :

mono-mono

RAVE.jvoice v1.3.0 by Nao Tokui RAVE model trained on Japanese speech. Input : Output :

Type :

stereo-stereo

RAVE.kora v1.3.0 by Qosmo RAVE timbre transfer model trained on kora (african lute/harp) Input : Output :

Type :

stereo-stereo

RAVE.marimba v1.3.0 by Nao Tokui Stereo RAVE model trained on marimba sounds. Input : Output :

Type :

mono-mono

RAVE.megalodon v1.3.0 by Nao Tokui RAVE model that generates beastly bass sounds. Input : Output : Experimental

Type :

mono-mono

RAVE.MultiVox v0.5.0 by Nao Tokui AI model that converts any incoming sounds into voice sounds. Input : Output :

Type :

mono-mono

RAVE.NASA v1.3.0 by Antoine Caillon RAVE model trained on NASA recordings Input : Output :

Type :

mono-mono

RAVE.taiko v1.1.0 by Nao Tokui RAVE 2 model trained on Taiko (Japanese drums). Input : Output :

Type :

mono-mono

RAVE.VintageRadio v1.3.0 by Antoine Caillon RAVE model trained on vintage radio songs Input : Output :

Type :

stereo-stereo

RAVE.violin v1.3.0 by Naotake Masuda Stereo RAVE timbre transfer model trained on violin performances. Input : Output : Experimental

Type :

stereo-stereo

temporalconv.reverb v1.0.0 by Nao Tokui Temporal Convolution Reverb Input : Output : Experimental

Type :

stereo-stereo

Demucs.StemSeparation v1.0.0 by Bogdan Teleaga Stem separation model that can split an audio mix into bass, drums, vocals, other using the four knobs. Input : Output : Experimental

Type :

mono-mono

RAVE.djembe v1.0.0 by Nao Tokui AI model that converts any incoming audio into djembe percussion sound. Input : Output : Experimental

Type :

mono-mono

RAVE.glassharp v1.0.0 by Nao Tokui AI model that converts any incoming audio into glass harp sound.