22 citations · 22 across the 2 of their papers we have counts for
3 papers
Sobolev Norms in Neural Embeddings Measure Audio Morphing Regularity
Théo Chasle Cauchy, Modan Tailleur, Barbara Pascal +2
Morphing has recently gained renewed interest with the emergence of generative models, particularly in audio and image generation. In musical sound synthesis, morphing can generate…
Predicting Timbre Traits for Interpretable Assessment of Musical Sound Synthesizers
Théo Chasle Cauchy, Modan Tailleur, Lindsey Reymore +2
Measuring neural audio synthesizers' performance is now routinely conducted using distribution based metrics such as the Fréchet Audio Distance (FAD). Although this metric can be c…
Autoencoders for music sound modeling: a comparison of linear, shallow, deep, recurrent and variational models
Fanny Roche, Thomas Hueber, Samuel Limier +1
This study investigates the use of non-linear unsupervised dimensionality reduction techniques to compress a music dataset into a low-dimensional representation which can be used i…