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Bob L. T. Sturm

4 papers hereh-index 222 citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SD3
  • cs.IR1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.IR2025

Data-Driven Analysis of Text-Conditioned AI-Generated Music: A Case Study with Suno and Udio

Luca Casini, Laura Cros Vila, David Dalmazzo +2

Online AI platforms for creating music from text prompts (AI music), such as Suno and Udio, are now being used by hundreds of thousands of users. Some AI music is appearing in adve…

cs.SD2025

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…

cs.SD2024

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…

cs.SD2024

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.