Public articles linked to the same research event.
arXiv The work introduces PEACE, the first joint embedding that maps Faust effect code and processed audio into one space: the audio side reuses AFx-Rep while the code side is either a fine-tuned T5 or BoxGraph, a message-passing graph neural network over the Faust compiler's Box API intermediate representation, trained with SLAP's non-contrastive BYOL objective; across 200K training pairs, 21 Faust effects and chains of length 1-3, the two code encoders roughly tie on mixed-length chain retrieval, T5 leads slightly on single-effect galleries and longer chains, BoxGraph is stronger at parameter-masked chain-topology retrieval (17.4% versus 12.4% R@1) and reaches 53.5% R@10 on a reverb benchmark built from professional plugins unseen in training, above pretrained AFx-Rep's 28.3%.
The work introduces PEACE, the first joint embedding that maps Faust effect code and processed audio into one space: the audio side reuses AFx-Rep while the code side is either a fine-tuned T5 or BoxGraph, a message-passing graph neural network over the Faust compiler's Box API intermediate representation, trained with SLAP's non-contrastive BYOL objective; across 200K training pairs, 21 Faust effects and chains of length 1-3, the two code encoders roughly tie on mixed-length chain retrieval, T5 leads slightly on single-effect galleries and longer chains, BoxGraph is stronger at parameter-masked chain-topology retrieval (17.4% versus 12.4% R@1) and reaches 53.5% R@10 on a reverb benchmark built from professional plugins unseen in training, above pretrained AFx-Rep's 28.3%.
The work introduces PEACE, the first joint embedding that maps Faust effect code and processed audio into one space: the audio side reuses AFx-Rep while the code side is either a fine-tuned T5 or BoxGraph, a message-passing graph neural network over the Faust compiler's Box API intermediate representation, trained with SLAP's non-contrastive BYOL objective; across 200K training pairs, 21 Faust effects and chains of length 1-3, the two code encoders roughly tie on mixed-length chain retrieval, T5 leads slightly on single-effect galleries and longer chains, BoxGraph is stronger at parameter-masked chain-topology retrieval (17.4% versus 12.4% R@1) and reaches 53.5% R@10 on a reverb benchmark built from professional plugins unseen in training, above pretrained AFx-Rep's 28.3%.
The work introduces PEACE, the first joint embedding that maps Faust effect code and processed audio into one space: the audio side reuses AFx-Rep while the code side is either a fine-tuned T5 or BoxGraph, a message-passing graph neural network over the Faust compiler's Box API intermediate representation, trained with SLAP's non-contrastive BYOL objective; across 200K training pairs, 21 Faust effects and chains of length 1-3, the two code encoders roughly tie on mixed-length chain retrieval, T5 leads slightly on single-effect galleries and longer chains, BoxGraph is stronger at parameter-masked chain-topology retrieval (17.4% versus 12.4% R@1) and reaches 53.5% R@10 on a reverb benchmark built from professional plugins unseen in training, above pretrained AFx-Rep's 28.3%.