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Found 4 papers, 2 papers with code
Leveraging Negative Signals with Self-Attention for Sequential Music Recommendation
In this study, we investigate the use of transformer-based self-attentive architectures to learn implicit session-level information for sequential music recommendation.
ASPED: An Audio Dataset for Detecting Pedestrians
We introduce the new audio analysis task of pedestrian detection and present a new large-scale dataset for this task.
AVASpeech-SMAD: A Strongly Labelled Speech and Music Activity Detection Dataset with Label Co-Occurrence
We propose a dataset, AVASpeech-SMAD, to assist speech and music activity detection research.
Improving Music Performance Assessment with Contrastive Learning
Several automatic approaches for objective music performance assessment (MPA) have been proposed in the past, however, existing systems are not yet capable of reliably predicting ratings with the same accuracy as professional judges.
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