Publications-ppc
2021 (48)Schedl M, Knees P, McFee B, Bogdanov D. Music Recommendation Systems: Techniques, Use Cases, and Challenges.. In: Ricci F, Rokach L, Shapira B (eds). Recommender Systems Handbook. 1 ed. New York: Springer; 2021. p. 927-971. |
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Slizovskaia O, Haro G, Gomez E. Conditioned Source Separation for Musical Instrument Performances. IEEE-ACM transactions on audio, speech, and language processing 2021; 29( ): 2083-2095. |
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Srinivasamurthy A, Gulati S, Caro R, Serra X,. Saraga: Open Datasets for Research on Indian Art Music. Empirical Musicology Review 2021; 16(1): 85-98. |
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Weck B, Favory X, Drossos K, Serra X. Evaluating Off-the-Shelf Machine Listening and Natural Language Models for Automated Audio Captioning. In: Font F, Mesaros AM, PW Ellis D, Fonseca E, Fuentes M, Elizalde B (eds.). Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2021). 1 ed. Barcelona: Music Technology Group, Universitat Pompeu Fabra; 2021. p. 1-5. |
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Weigl DM, Crawford T, Gkiokas A, Goebl W, Gómez E, Gutiérrez NF, Liem CCS, Santos P. FAIR Interconnection and Enrichment of Public-Domain Music Resources on the Web. Empirical Musicology Review 2021; 16(1): 16-33. |
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Won M, Choi K, Serra X. Semi-supervised Music Tagging Transformer. In: AA. VV.. Proceedings 22nd International Society for Music Information Retrieval Conference (ISMIR 2021) Online. 1 ed. 2021. p. 769-776. |
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Won M, Oramas S, Nieto O, Gouyon F, Serra X. Multimodal Metric Learning For Tag-Based Music Retrieval. In: Androutsos, Dimitri; Plataniotis, Kostas; Zhang, Xiao-Ping. Proceedings of the 46th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1 ed. 2021. p. 591-595. |
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Won M, Salamon J, Bryan NJ, Mysore G, Serra X. Emotion Embedding Spaces for Matching Music to Stories. In: AA. VV.. Proceedings 22nd International Society for Music Information Retrieval Conference (ISMIR 2021) Online. 1 ed. 2021. p. 777-785. |
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Yesiler F, Doras G, Bittner RM, Tralie CJ, Serra J. Audio-Based Musical Version Identification: Elements and challenges. IEEE signal processing magazine 2021; 38(6): 115-136. |
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Yesiler F, Molina E, Serrà J, Gómez E. Investigating the efficacy of music version retrieval systems for setlist identification. IEEE International Conference on Acoustics, Speech, and Signal Processing 2021; ( ): 541-545. |
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Yesiler F, Molina E, Serrà J, Gómez E. Investigating the efficacy of music version retrieval systems for setlist identification. In: AA. VV.. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021). 1 ed. IEEE; 2021. p. 1-5. |
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Yesiler F, Molina E, Serrà J, Gómez E. Investigating the efficacy of music version retrieval systems for setlist identification. arxiv.org; 2021. |
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Zinemanas P, Rocamora M, Fonseca E, Font F, Serra X. Toward interpretable polyphonic sound event detection with attention maps based on local prototypes. In: Font F, Mesaros AM, PW Ellis D, Fonseca E, Fuentes M, Elizalde B (eds.). Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2021). 1 ed. Barcelona: Music Technology Group, Universitat Pompeu Fabra; 2021. p. 50-54. |
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Zinemanas P, Rocamora M, Miron M, Font F, Serra X. An Interpretable Deep Learning Model for Automatic Sound Classification. Electronics 2021; 10(7): 1-23. |
2020 (52)Alonso-Jiménez P, Bogdanov D, Pons J, Serra X. Tensorflow audio models in Essentia. In: -. ICASSP 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1 ed. The Institute of Electrical and Electronics Engineers, Inc.; 2020. p. 266-270. |
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Alonso-Jiménez P, Bogdanov D, Pons J, Serra X. TensorFlow Audio Models in Essentia. In: AA. VV.. Proceedings ICASSP 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1 ed. Barcelona: IEEE; 2020. p. 266-270. |
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Alonso-Jiménez P, Bogdanov D, Serra X. Deep embeddings with Essentia models. In: AA. VV.. Proceedings International Society of Music Information Retrieval Conference (ISMIR 2020). 1 ed. Montréal: ISMIR; 2020. |
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Blaauw M, Bonada J. Sequence-to-sequence Singing Synthesis Using the Feed-forward Transformer. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing 2020; ( ): 7229-7233. |
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Blaauw M, Bonada J, Daido R. Data Efficient Voice Cloning for Neural Singing Synthesis. In: -. ICASSP 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1 ed. The Institute of Electrical and Electronics Engineers, Inc.; 2020. p. 6840-6844. |
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Bogdanov D, Porter A, Tovstogan P, Won M. MediaEval 2020: Emotion and theme recognition in music using jamendo. CEUR Workshop Proceedings 2020; 2882( ). |