RAVE.choir | Models | Neutone by Neutone Inc.

neutone

by
Neutone Inc.

RAVE.choir

Type :: stereo-stereo
Plugin version :: v1.3.0

RAVE.choir v1.3.0 by Nao Tokui Stereo RAVE timbre transfer model trained on choir sounds. Best with soft, harmonic sounds. Input range: (50, 8000) Hz.

Audio Sample

Audio Sample #1

Audio Sample #2

Audio Sample #3

Technical Information

RAVE model proposed by Caillon, Antoine et al.

References

Caillon, A., & Esling, P. (2021). RAVE: A variational autoencoder for fast and high-quality neural audio synthesis. arXiv preprint arXiv:2111.05011.

Related models

Type :: stereo-stereo

clipper v1.0.0 by Andrew Fyfe Audio clipper.

Output : Experimental

Type :: mono-mono

DDSP.sax v1.3.0 by Naotake Masuda DDSP model trained on saxophone sounds

Output : Experimental

Type :: mono-mono

DDSP.shakuhachi v1.3.0 by Naotake Masuda DDSP model trained on shakuhachi sounds

Output : Experimental

Type :: mono-mono

DDSP.violin v1.3.0 by Naotake Masuda DDSP model trained on violin sounds

Output : Experimental

Type :: mono-mono

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

Output : Experimental

Type :: mono-mono

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

Type :: mono-mono

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

Type :: stereo-stereo

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

Type :: mono-mono

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

Output : Experimental

Type :: mono-mono

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

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.

Type :: stereo-stereo

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

Type :: stereo-stereo

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

Type :: mono-mono

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

Type :: mono-mono

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

Type :: mono-mono

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

Type :: stereo-stereo

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

Type :: stereo-stereo

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

Type :: mono-mono

RAVE.megalodon v1.3.0 by Nao Tokui RAVE model that generates beastly bass sounds.

Output : Experimental

Type :: mono-mono

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

Type :: mono-mono

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

Type :: mono-mono

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

Type :: mono-mono

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

Type :: stereo-stereo

RAVE.violin v1.3.0 by Naotake Masuda Stereo RAVE timbre transfer model trained on violin performances.

Output : Experimental

Type :: stereo-stereo

temporalconv.reverb v1.0.0 by Nao Tokui Temporal Convolution Reverb

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.

Output : Experimental

Type :: mono-mono

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

Output : Experimental

Type :: mono-mono

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

View all models