1 citations · 2 across the 7 of their papers we have counts for
8 papers
SMART: Tuning a symbolic music generation system with an audio domain aesthetic reward
Nicolas Jonason, Luca Casini, Bob L. T. Sturm
Recent work has proposed training machine learning models to predict aesthetic ratings for music audio. Our work explores whether such models can be used to finetune a symbolic mus…
Steer-by-prior Editing of Symbolic Music Loops
Nicolas Jonason, Luca Casini, Bob L. T. Sturm
With the goal of building a system capable of controllable symbolic music loop generation and editing, this paper explores a generalisation of Masked Language Modelling we call Sup…
SYMPLEX: Controllable Symbolic Music Generation using Simplex Diffusion with Vocabulary Priors
Nicolas Jonason, Luca Casini, Bob L. T. Sturm
We present a new approach for fast and controllable generation of symbolic music based on the simplex diffusion, which is essentially a diffusion process operating on probabilities…
Retrieval Augmented Generation of Symbolic Music with LLMs
Nicolas Jonason, Luca Casini, Carl Thomé +1
We explore the use of large language models (LLMs) for music generation using a retrieval system to select relevant examples. We find promising initial results for music generation…
DDSP-based Neural Waveform Synthesis of Polyphonic Guitar Performance from String-wise MIDI Input
Nicolas Jonason, Xin Wang, Erica Cooper +3
We explore the use of neural synthesis for acoustic guitar from string-wise MIDI input. We propose four different systems and compare them with both objective metrics and subjectiv…
Exploring Softly Masked Language Modelling for Controllable Symbolic Music Generation
Nicolas Jonason, Bob L. T. Sturm
This document presents some early explorations of applying Softly Masked Language Modelling (SMLM) to symbolic music generation. SMLM can be seen as a generalisation of masked lang…
Audio Latent Space Cartography
Nicolas Jonason, Bob L. T. Sturm
We explore the generation of visualisations of audio latent spaces using an audio-to-image generation pipeline. We believe this can help with the interpretability of audio latent s…
TimbreCLIP: Connecting Timbre to Text and Images
Nicolas Jonason, Bob L. T. Sturm
We present work in progress on TimbreCLIP, an audio-text cross modal embedding trained on single instrument notes. We evaluate the models with a cross-modal retrieval task on synth…