3 papers
eess.AS2024
What do MLLMs hear? Examining reasoning with text and sound components in Multimodal Large Language Models
Enis Berk Çoban, Michael I. Mandel, Johanna Devaney
Large Language Models (LLMs) have demonstrated remarkable reasoning capabilities, notably in connecting ideas and adhering to logical rules to solve problems. These models have evo…
cs.SD2023
Encoding Performance Data in MEI with the Automatic Music Performance Analysis and Comparison Toolkit (AMPACT)
Johanna Devaney, Cecilia Beauchamp
This paper presents a new method of encoding performance data in MEI using the recently added \texttt{<extData>} element. Performance data was extracted using the Automatic Music P…
cs.SD2023
Collaborative Song Dataset (CoSoD): An annotated dataset of multi-artist collaborations in popular music
Michèle Duguay, Kate Mancey, Johanna Devaney
The Collaborative Song Dataset (CoSoD) is a corpus of 331 multi-artist collaborations from the 2010-2019 Billboard "Hot 100" year-end charts. The corpus is annotated with formal se…