To CMT or not to CMT: Towards testing OpenReview for ISMIR 2026

ISMIR 2026 Test Submission4 Authors

Abstract: This paper explores the convergence of computational music generation models, specifically those utilizing large language models (LLMs) and diffusion techniques, with the current understanding of human auditory perception. We investigate how stochastic processes, such as Markov chains and diffusion models, simulate musical structure and novelty, and discuss the hypothesized neural correlates involved in the processing and appreciation of these synthetic compositions. This text is randomly generated for testing.

TL;DR: Random text

Keywords: MIR, testing

Primary Area: Generative tasks

Secondary Areas: MIR data fundamentals -> multimodality

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Submission Number: 4