© 2022 Qosmo, Inc.

temporalconv.reverb

Type :
stereo-stereo
Plugin version :
v1.4.3
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 :
Audio Sample #3
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 :
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 : 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
GCN.NeuralSpringReverb v1.0.0 by Francesco Papaleo Neural spring reverb effect. 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.Cümbüş v1.0.0 by 𝔥𝔢𝔵𝔬𝔯𝔠𝔦𝔰𝔪𝔬𝔰 RAVE model trained by 𝔥𝔢𝔵𝔬𝔯𝔠𝔦𝔰𝔪𝔬𝔰 on recordings of Cümbüş sounds, a turkish instrument from early c.XX 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 : Experimental
Type :
mono-mono
RAVE.gamelan v1.0.0 by Scott Young RAVE model trained on Gamelan music dataset. 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. Input : Output :
Type :
mono-mono
RAVE.IILBirdsMotherbird v1.0.0 by Intelligent Instruments Lab RAVE model trained by IIL on bird sounds curated for the piece Motherbird. Input : Output :
Type :
mono-mono
RAVE.IILBirdsPluma v1.0.0 by Intelligent Instruments Lab RAVE model trained by IIL on bird sounds curated by Giacomo Lepri for his instrument Pluma. Input : Output :
Type :
mono-mono
RAVE.IILGuitar v1.0.0 by Intelligent Instruments Lab RAVE model trained by IIL on dry electric guitar sounds. Input : Output :
Type :
mono-mono
RAVE.IILMagneticResonatorPiano v1.0.0 by Intelligent Instruments Lab RAVE model trained by IIL on a magnetic resonator piano controlled by artificial life. Input : Output :
Type :
mono-mono
RAVE.IILOrganArchive v1.0.0 by Intelligent Instruments Lab RAVE model trained by IIL on various recordings of organ music. Input : Output :
Type :
mono-mono
RAVE.IILOrganBach v1.0.0 by Intelligent Instruments Lab RAVE model trained by IIL on various recordings of J.S. Bach music for church organ. Input : Output :
Type :
mono-mono
RAVE.IILPondBrainHumpbacks v1.0.0 by Intelligent Instruments Lab RAVE model trained by IIL on humpback whale recordings from the Watkins database, MBARI, and BBC. Input : Output :
Type :
mono-mono
RAVE.IILPondBrainMarineMammals v1.0.0 by Intelligent Instruments Lab RAVE model trained by IIL on various marine mammal sounds from NOAA, the Watkins database, freesound and others. Input : Output :
Type :
mono-mono
RAVE.IILPondBrainWater v1.0.0 by Intelligent Instruments Lab RAVE model trained by IIL on water recordings from freesound.org. Input : Output :
Type :
mono-mono
RAVE.IILSopranoSax v1.0.0 by Intelligent Instruments Lab RAVE model trained by IIL on soprano sax improvisation by Franziska Schroeder. Input : Output :
Type :
mono-mono
RAVE.IILThales v1.0.0 by Intelligent Instruments Lab RAVE model trained by IIL on a dataset composed of Thales, a musical instrument based on magnets Input : Output :
Type :
mono-mono
RAVE.IILVoiceHiFiTTS v1.0.0 by Intelligent Instruments Lab RAVE model trained by IIL on the Hi-Fi TTS audiobooks dataset. Input : Output :
Type :
mono-mono
RAVE.IILVoiceJVS v1.0.0 by Intelligent Instruments Lab RAVE model trained by IIL on the Hi-Fi TTS speaker 9017 (John Van Stan). Input : Output :
Type :
mono-mono
RAVE.IILVoiceVCTK v1.0.0 by Intelligent Instruments Lab RAVE model trained by IIL on the CSTR VCTK Corpus multispeaker read speech dataset. Input : Output :
Type :
mono-mono
RAVE.IILVoiceVocalSet v1.0.0 by Intelligent Instruments Lab RAVE model trained by IIL on the VocalSet singing voice dataset. 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 :
Type :
mono-mono
RAVE.MexSalterio v1.0.0 by 𝔥𝔢𝔵𝔬𝔯𝔠𝔦𝔰𝔪𝔬𝔰 RAVE model trained by 𝔥𝔢𝔵𝔬𝔯𝔠𝔦𝔰𝔪𝔬𝔰 on public domain Mexican Salterio sounds dating from late XIX century México. 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 :
mono-mono
RAVE.djembe v1.0.0 by Nao Tokui AI model that converts any incoming audio into djembe percussion sound.
View all models