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Acoustic Scene Classification by Ensembling Gradient Boosting Machine and Convolutional Neural Networks.

, , , , , and . DCASE, page 37-41. (2017)

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Evaluation of CNN-based Automatic Music Tagging Models., , , and . CoRR, (2020)Music Auto-tagging Using CNNs and Mel-spectrograms With Reduced Frequency and Time Resolution., , , , and . CoRR, (2019)MediaEval 2021: Emotion and Theme Recognition in Music Using Jamendo., , and . MediaEval, volume 3181 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)How Much Metadata Do We Need in Music Recommendation? A Subjective Evaluation Using Preference Sets., and . ISMIR, page 97-102. University of Miami, (2011)The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation., , , , , , , , , and 3 other author(s). CoRR, (2023)MediaEval 2018 AcousticBrainz Genre Task: A Baseline Combining Deep Feature Embeddings Across Datasets., , and . MediaEval, volume 2283 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Tensorflow Audio Models in Essentia., , , and . ICASSP, page 266-270. IEEE, (2020)Essentia.js: A JavaScript Library for Music and Audio Analysis on the Web., , , and . ISMIR, page 605-612. (2020)Pre-Training Strategies Using Contrastive Learning and Playlist Information for Music Classification and Similarity., , , , , , and . ICASSP, page 1-5. IEEE, (2023)Efficient Supervised Training of Audio Transformers for Music Representation Learning., , and . ISMIR, page 824-831. (2023)