© 2022 Qosmo, Inc.

temporalconv.reverb

Type :
stereo-stereo
Plugin version :
v1.2.1
temporalconv.reverb v1.0.0 Experimental by Nao Tokui Neural reverb effect through 1D-Convolutional Neural Network

Audio Sample

Audio Sample #1
Input : Output :
Audio Sample #2
Input : Output :
Technical Information
The 1D-Conv Net was trained with a few hundred pairs of dry/wet sound. This architecture is very versatile and can be used for other effect types.
Paper Code
References
Steinmetz, Christian J., and Joshua D. Reiss., Steerable Discovery of Neural Audio Effects.

Related models

Input : Output :
Type :
mono-mono
NeuraFuzz v1.0.0 by Marco Comunità Neural fuzz + Ring modulator Input : Output : Experimental
Type :
mono-mono
DDSP.sax v1.2.0 by Naotake Masuda DDSP model trained on saxophone sounds Input : Output : Experimental
Type :
mono-mono
DDSP.shakuhachi v1.2.0 by Naotake Masuda DDSP model trained on shakuhachi sounds Input : Output : Experimental
Type :
mono-mono
DDSP.violin v1.2.0 by Naotake Masuda DDSP model trained on violin sounds 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 v1.2.0 by Naotake Masuda RAVE timbre transfer model trained on the Amen drum break. Input : Output : Experimental
Type :
mono-mono
RAVE.bird v1.2.0 by Nao Tokui RAVE timbre transfer model trained on field recordings of bird songs. Input : Output :
Type :
stereo-stereo
RAVE.BuddhistChant v1.1.0 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 v1.1.0 by Nao Tokui Stereo RAVE timbre transfer model trained on Bulgarian female choir. Input : Output :
Type :
stereo-stereo
RAVE.choir v1.2.0 by Nao Tokui Stereo RAVE timbre transfer model trained on choir sounds. Input : Output :
Type :
mono-mono
RAVE.drumkit v1.2.0 by Naotake Masuda RAVE timbre transfer model trained on drum performances.. Input : Output :
Type :
mono-mono
RAVE.evoice v1.2.0 by Antoine Caillon RAVE model trained on English speech. Input : Output :
Type :
mono-mono
RAVE.jvoice v1.2.0 by Nao Tokui RAVE model trained on Japanese speech. Input : Output :
Type :
stereo-stereo
RAVE.kora v1.2.0 by Qosmo RAVE timbre transfer model trained on kora (african lute/harp) Input : Output :
Type :
stereo-stereo
RAVE.marimba v1.2.0 by Nao Tokui Stereo RAVE model trained on marimba sounds. Input : Output :
Type :
mono-mono
RAVE.megalodon v1.2.0 by Nao Tokui RAVE model that generates beastly bass sounds. Input : Output :
Type :
mono-mono
RAVE.NASA v1.2.0 by Antoine Caillon RAVE model trained on NASA recordings Input : Output :
Type :
mono-mono
RAVE.taiko v1.0.0 by Nao Tokui RAVE 2 model trained on Taiko (Japanese drums). Input : Output :
Type :
stereo-stereo
RAVE.violin v1.2.0 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 :
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 :
stereo-stereo
clipper v1.0.0 by Andrew Fyfe Audio clipper. Input : Output :
Type :
mono-mono
RAVE.VintageRadio v1.2.0 by Antoine Caillon RAVE model trained on vintage radio songs
View all models