MusiQAl: A Dataset for Music Question–Answering through Audio–Video Fusion
Music question–answering (MQA) is a machine learning task where a computational system analyzes and answers questions about music‑related data. Traditional methods prioritize audio, overlooking visual and embodied aspects crucial to music performance ...
Anna-Maria Christodoulou +3 more
doaj +1 more source
The relevance of music information representation metadata from the perspective of expert users
The general goal of this research was to verify which metadata elements of music information representation are relevant for its retrieval from the perspective of expert music users.
Camila Monteiro de Barros +1 more
doaj
Integrating music information retrieval into performers' reflective practice: an interdisciplinary approach to performance learning. [PDF]
Kim YJ, Song MK.
europepmc +1 more source
The cadenza woodwind dataset: Synthesised quartets for music information retrieval and machine learning. [PDF]
Roa Dabike G +11 more
europepmc +1 more source
Hierarchical context enhancement for long-tail entity retrieval augmented generation. [PDF]
Peng Y, Pan K.
europepmc +1 more source
MusicAlzheimer: AI-Powered, Culturally Tailored Digital Music Therapy Prototype for Alzheimer Disease Care. [PDF]
Yang S, Zhang DY, Zhang M, Yang H, Ma Y.
europepmc +1 more source
FME-24: A film, music, and emotion dataset. [PDF]
Crocker RON, Fazekas G.
europepmc +1 more source
Personalized Music Listening and Autobiographical Narration in Nursing Home Residents: Linguistic and Qualitative Findings from a Pilot Study. [PDF]
Rossi C +10 more
europepmc +1 more source
Mechanisms of action and advances in application of music therapy in improving cognitive impairment based on the theory of neuroplasticity. [PDF]
Zeng ZT +6 more
europepmc +1 more source
Evoking nostalgia by presenting hit-song lists. [PDF]
Kawase S, Eguchi K.
europepmc +1 more source

