license: cc-by-nc-4.0
RAVE Models
This is a collection of RAVE models trained by the Intelligent Instruments Lab for various projects.
Most of these models are encoder-decoder only, no prior, and all use the --causal mode and are exported for streaming inference with nn~, NN.ar or rave-supercollider.
guitar_iil_b2048_r48000_z16.ts
Dataset: IILGuitarTimbre.
Model: modified RAVE v1, 48kHz, block size 2048, 16 latent dimensions.
organ_archive_b2048_r48000_z16.ts
Dataset: public domain organ music from archive.org. Small amounts of voice and other instruments were included, and vinyl record noises are prominent.
Model: modified RAVE v1, 48kHz, block size 2048, 16 latent dimensions.
organ_bach_b2048_sr48000_z16.ts
Dataset: various recordings of J. S. Bach music for church organ.
Model: modified RAVE v1, 48kHz, block size 2048, 16 latent dimensions.
voice_vocalset_b2048_r48000_z16.ts
Dataset: VocalSet singing voice dataset.
Model: modified RAVE v1, 48kHz, block size 2048, 16 latent dimensions.
voice_hifitts_b2048_r48000_z16.ts
Dataset: Hi-Fi TTS audiobooks dataset.
Model: modified RAVE v1, 48kHz, block size 2048, 16 latent dimensions.
voice_jvs_b2048_r44100_z16.ts
Dataset: Hi-Fi TTS speaker 9017 (John Van Stan).
Model: RAVE v3, 44.1kHz, block size 2048, 16 latent dimensions.
voice_vctk_b2048_r44100_z16.ts
Dataset: CSTR VCTK Corpus multispeaker read speech dataset.
Model: RAVE v3, 44.1kHz, block size 2048, 22 latent dimensions.