7 citations · 23 across the 11 of their papers we have counts for
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cs.CL2026
HumMusQA: A Human-written Music Understanding QA Benchmark Dataset
Benno Weck, Pablo Puentes, Andrea Poltronieri +2
The evaluation of music understanding in Large Audio-Language Models (LALMs) requires a rigorously defined benchmark that truly tests whether models can perceive and interpret musi…
cs.CL2024
The language of sound search: Examining User Queries in Audio Search Engines
Benno Weck, Frederic Font
This study examines textual, user-written search queries within the context of sound search engines, encompassing various applications such as foley, sound effects, and general aud…
cs.CL2023★ 4 cited
WikiMuTe: A web-sourced dataset of semantic descriptions for music audio
Benno Weck, Holger Kirchhoff, Peter Grosche +1
Multi-modal deep learning techniques for matching free-form text with music have shown promising results in the field of Music Information Retrieval (MIR). Prior work is often base…