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How Much Metadata Do We Need in Music Recommendation? A Subjective Evaluation Using Preference Sets., и . ISMIR, стр. 97-102. University of Miami, (2011)The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation., , , , , , , , , и 3 other автор(ы). CoRR, (2023)Essentia.js: A JavaScript Library for Music and Audio Analysis on the Web., , , и . ISMIR, стр. 605-612. (2020)Pre-Training Strategies Using Contrastive Learning and Playlist Information for Music Classification and Similarity., , , , , , и . ICASSP, стр. 1-5. IEEE, (2023)MediaEval 2018 AcousticBrainz Genre Task: A Baseline Combining Deep Feature Embeddings Across Datasets., , и . MediaEval, том 2283 из CEUR Workshop Proceedings, CEUR-WS.org, (2018)Tensorflow Audio Models in Essentia., , , и . ICASSP, стр. 266-270. IEEE, (2020)Music Auto-tagging Using CNNs and Mel-spectrograms With Reduced Frequency and Time Resolution., , , , и . CoRR, (2019)Evaluation of CNN-based Automatic Music Tagging Models., , , и . CoRR, (2020)MediaEval 2021: Emotion and Theme Recognition in Music Using Jamendo., , и . MediaEval, том 3181 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)Leveraging Pre-Trained Autoencoders for Interpretable Prototype Learning of Music Audio., , , , , , и . CoRR, (2024)