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Sep 19, 2022 · Our dataset was created for personalized MER and contains information from 181 participants, 4721 annotations, and 1161 music excerpts.
Our dataset was created for personalized MER and contains information from 181 participants, 4721 annotations, and 1161 music excerpts.
Sep 19, 2022 · TROMPA‑MER: an open dataset for personalized music ; We present a platform and a dataset to help research on Music Emotion Recognition ; (MER). We ...
Aug 10, 2022 · Secondly, our dataset was created for personalized MER and contains information from 181 participants, 4721 annotations, and 1161 music excerpts ...
We present a data set for the analysis of personalized Music Emotion Recognition (MER) systems. We developed the Music Enthusiasts platform.
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To showcase the use of the dataset, we present a methodology for personalization of MER models based on active learning. The experiments show evidence that ...
TROMPA-MER: an open data set for personalized Music Emotion Recognition. Source code to reproduce experiments and visualization platform presented to Journal ...
We present a platform and a dataset to help research on Music Emotion Recognition (MER). We developed the Music Enthusiasts platform aiming to improve the ...
Jan 29, 2024 · The dataset contains 2,092 track previews covering 1,404 genres, with pairwise relative AV judgments by 20 annotators and various subsets of the ...
Jun 13, 2024 · “Trompa-mer: an open dataset for personalized music emotion recognition,” Journal of Intelligent Informa- tion Systems, vol. 60, no. 2, pp ...