33 citations · 60 across the 7 of their papers we have counts for
6 papers · 1 filter
InstructFX2FX: A Multi-Turn Text-to-Effect System for Sequential Audio Effect Refinement
Song-Ze Yu, Milan Liessens Dujardin, Yuxuan Cai +4
We present InstructFX2FX, a system for sequential audio effect refinement through multi-turn natural-language instructions. Existing text-to-effect systems are largely single-shot,…
Audible Networks: Deconstructing and Manipulating Sounds with Deep Non-Negative Autoencoders
Juan José Burred, Carmine-Emanuele Cella
We propose the use of Non-Negative Autoencoders (NAEs) for sound deconstruction and user-guided manipulation of sounds for creative purposes. NAEs offer a versatile and scalable ex…
Network Bending of Diffusion Models for Audio-Visual Generation
Luke Dzwonczyk, Carmine Emanuele Cella, David Ban
In this paper we present the first steps towards the creation of a tool which enables artists to create music visualizations using pre-trained, generative, machine learning models.…
OrchideaSOL: a dataset of extended instrumental techniques for computer-aided orchestration
Carmine Emanuele Cella, Daniele Ghisi, Vincent Lostanlen +3
This paper introduces OrchideaSOL, a free dataset of samples of extended instrumental playing techniques, designed to be used as default dataset for the Orchidea framework for targ…
Machine listening intelligence
C. E. Cella
This manifesto paper will introduce machine listening intelligence, an integrated research framework for acoustic and musical signals modelling, based on signal processing, deep le…
Deep convolutional networks on the pitch spiral for musical instrument recognition
Vincent Lostanlen, Carmine-Emanuele Cella
Musical performance combines a wide range of pitches, nuances, and expressive techniques. Audio-based classification of musical instruments thus requires to build signal representa…