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license: cc-by-nc-4.0 |
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# RAVE Models |
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This is a collection of [RAVE](https://github.com/acids-ircam/RAVE) models trained by the [Intelligent Instruments Lab](https://iil.is) for various projects. |
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For a full description see our blog post at: https://iil.is/news/ravemodels. |
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Most of these models are encoder-decoder only, no prior, and all use the `--causal` mode and are exported for streaming inference with [nn~](https://github.com/acids-ircam/nn_tilde), [NN.ar](https://github.com/elgiano/nn.ar) or [rave-supercollider](https://github.com/victor-shepardson/rave-supercollider). |
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## Musical Instruments |
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### guitar_iil_b2048_r48000_z16.ts |
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Dataset: [IILGuitarTimbre](https://github.com/Intelligent-Instruments-Lab/IILGuitarTimbre), a timbre-oriented collection of plucking, strumming, striking scraping and more recorded dry from an electric guitar. |
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Model: modified RAVE v1, 48kHz, block size 2048, 16 latent dimensions. |
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### sax_soprano_franziskaschroeder_b2048_r48000_z20.ts |
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Dataset: Soprano sax improvisation by [Franziska Schroeder](https://improvisationai.wordpress.com/). |
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Model: modified RAVE v1, 48kHz, block size 2048, 20 latent dimensions. |
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### organ_archive_b2048_r48000_z16.ts |
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Dataset: various recordings of organ music sourced from archive.org. Small amounts of voice and other instruments were included, and vinyl record noises are prominent. |
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Model: modified RAVE v1, 48kHz, block size 2048, 16 latent dimensions. |
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### organ_bach_b2048_sr48000_z16.ts |
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Dataset: various recordings of J.S. Bach music for church organ. |
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Model: modified RAVE v1, 48kHz, block size 2048, 16 latent dimensions. |
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### mrp_strengjavera_b2048_r44100_z16.ts |
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Dataset: magnetic resonator piano controlled by artificial life, as part of generative installation Strengjavera by Jack Armitage premiered at AIMC 2023. See [paper](https://aimc2023.pubpub.org/pub/83k6upv8) and [Zenodo](https://zenodo.org/records/8329855) for citation. |
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Model: RAVE v3, 44.1kHz, block size 2048, 16 latent dimensions. |
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## Voice |
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### voice_vocalset_b2048_r48000_z16.ts |
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Dataset: [VocalSet](https://zenodo.org/record/1193957) singing voice dataset. |
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Model: modified RAVE v1, 48kHz, block size 2048, 16 latent dimensions. |
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### voice_hifitts_b2048_r48000_z16.ts |
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Dataset: [Hi-Fi TTS](http://arxiv.org/abs/2104.01497) audiobooks dataset. |
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Model: modified RAVE v1, 48kHz, block size 2048, 16 latent dimensions. |
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### voice_jvs_b2048_r44100_z16.ts |
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Dataset: [Hi-Fi TTS](http://arxiv.org/abs/2104.01497) speaker 9017 (John Van Stan). |
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Model: RAVE v3, 44.1kHz, block size 2048, 16 latent dimensions. |
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### voice_vctk_b2048_r44100_z16.ts |
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Dataset: [CSTR VCTK Corpus](https://datashare.ed.ac.uk/handle/10283/3443) multispeaker read speech dataset. |
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Model: RAVE v3, 44.1kHz, block size 2048, 22 latent dimensions. |
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## Birds |
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### birds_motherbird_b2048_r48000_z16.ts |
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This model of bird sounds was curated by Manuel Cherep, Jessica Shand and Jack Armitage for their piece Motherbird, performed at TENOR 2023 in Boston, May 2023. |
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Dataset: bird sounds. |
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Model: RAVE v1, 48kHz, block size 2048, 16 latent dimensions. |
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### birds_pluma_b2048_r48000_z12.ts |
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This model of bird sounds was curated by Giacomo Lepri for his instrument *[Pluma](http://www.giacomolepri.com/pluma)* |
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Dataset: bird sounds. |
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Model: modified RAVE v1, 48kHz, block size 2048, 12 latent dimensions. |
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## *Pond Brain* Marine Sounds |
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These models of marine sounds were trained for [Jenna Sutela](https://jennasutela.com/)'s *Pond Brain* installations at [Copenhagen Contemporary](https://copenhagencontemporary.org/en/yet-it-moves-read-online/) and the [Helsinki Biennial](https://helsinkibiennaali.fi/en/artist/jenna-sutela/) |
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Caution: these decoders sometimes produce a loud chirp on first initialization. |
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### water_pondbrain_b2048_r48000_z16.ts |
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Dataset: water recordings from freesound.org. |
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<details> |
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<summary>list of freesound users</summary> |
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inspectorj, inchadney, aesqe, vonfleisch, javetakami, atomediadesign, kolezan, zabuhailo, zaziesound, repdac3, al_sub, lgarrett, uzbazur, lydmakeren, frenkfurth, edo333, boredtoinsanity, owl, kaydinhamby, tliedes, ilmari_freesound, manoslindos, l3ardoc, alexbuk, s-light |
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</details> |
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Model: modified RAVE v1, 48kHz, block size 2048, 16 latent dimensions. |
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### humpbacks_pondbrain_b2048_r48000_z20.ts |
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Dataset: humpback whale recordings from the [Watkins database](https://cis.whoi.edu/science/B/whalesounds/index.cfm), [MBARI](https://freesound.org/people/MBARI_MARS/), and BBC. |
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Model: modified RAVE v1, 48kHz, block size 2048, 20 latent dimensions. |
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### marinemammals_pondbrain_b2048_r48000_z20.ts |
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Dataset: various marine mammal sounds from [NOAA](https://www.fisheries.noaa.gov/national/science-data/sounds-ocean-mammals), the [Watkins database](https://cis.whoi.edu/science/B/whalesounds/index.cfm), freesound users `felixblume` and `geraldfiebig`, and sound effects databases. |
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Model: modified RAVE v1, 48kHz, block size 2048, 20 latent dimensions. |
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## *Thales* magnets_b2048_r48000_z8.ts |
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Dataset: One hour recording of magnets of different dimensions hitting each other or scratching wooden and metallic surfaces. Used for [Thales](https://iil.is/pdf/2023_nime_privato_et_al_thales.pdf), a musical instrument based on magnets |
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Model: RAVE v1, 48Khz, block size 2048, 8 latent dimensions. |
