3 papers
cs.SD2026
Structural and Representational Agency in LLM-Driven Timbre Generation and Interpolation
Joseph Cameron, Alan Blackwell
Generative creative interfaces routinely report the user's position within a space of possibilities. Such displays imply that the quantities shown were measured from the artefact;…
cs.SD2026
Evaluating Latent Space Structure in Timbre VAEs: A Comparative Study of Unsupervised, Descriptor-Conditioned, and Perceptual Feature-Conditioned Models
Joseph Cameron, Alan Blackwell
We present a comparative evaluation of latent space organization in three Variational Autoencoders (VAEs) for musical timbre generation: an unsupervised VAE, a descriptor-condition…
cs.SD2026
A Semantic Timbre Dataset for the Electric Guitar
Joseph Cameron, Alan Blackwell
Understanding and manipulating timbre is central to audio synthesis, yet this remains under-explored in machine learning due to a lack of annotated datasets linking perceptual timb…