From the 1 of 12 linked papers with an AI index.
12 papers
From Prediction to Collaboration: Interactive Symbolic Music Analysis
Emmanouil Karystinaios, Johannes Hentschel, Markus Neuwirth +1
The paper introduces an interactive framework for symbolic Roman‑numeral music analysis that combines strong predictive models with support for constrained completion, revision, an…
Dilemmadata: On the Interoperability of Heterogeneous Roman Numeral Datasets
Johannes Hentschel, Emmanouil Karystinaios, Gerhard Widmer +1
In recent years, there has been growing effort to annotate and collect large-scale corpora of Roman numeral analyses in support of data-driven studies in tonal harmony. We introduc…
Precise and Simple Audio-to-Score Alignment
Silvan Peter, Patricia Hu, Gerhard Widmer
Audio-to-score alignment is a long-standing challenge in music information retrieval and arguably the most widely applicable alignment task for music research. Alignment algorithms…
Multi-Stage Music Source Restoration with BandSplit-RoFormer Separation and HiFi++ GAN
Tobias Morocutti, Emmanouil Karystinaios, Jonathan Greif +1
Music Source Restoration (MSR) targets recovery of original, unprocessed instrument stems from fully mixed and mastered audio, where production effects and distribution artifacts v…
How Far Can Pretrained LLMs Go in Symbolic Music? Controlled Comparisons of Supervised and Preference-based Adaptation
Deepak Kumar, Emmanouil Karystinaios, Gerhard Widmer +1
Music often shares notable parallels with language, motivating the use of pretrained large language models (LLMs) for symbolic music understanding and generation. Despite growing i…
Sound and Music Biases in Deep Music Transcription Models: A Systematic Analysis
Lukáš Samuel Marták, Patricia Hu, Gerhard Widmer
Automatic Music Transcription (AMT) -- the task of converting music audio into note representations -- has seen rapid progress, driven largely by deep learning systems. Due to the…