Publications-ppc
2021 (48)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. |
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Gómez-Cañón JS, Cano E, Yang YH, Herrera P, Gomez E. Let's agree to disagree: Consensus Entropy Active Learning for Personalized Music Emotion Recognition. In: AA. VV.. Proceedings 22nd International Society for Music Information Retrieval Conference (ISMIR 2021) Online. 1 ed. 2021. p. 237-245. |
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Gómez-Cañón JS, Cano E, Eerola T, Herrera P, Hu X, Yang YH, Gómez E. Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications. IEEE signal processing magazine 2021; 38(6): 106-114. |
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Gómez-Cañón JS, Cano E, Herrera P, Gómez E. Transfer learning from speech to music: towards language-sensitive emotion recognition models. European Signal Processing Conference 2021; ( ): 136-140. |
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Gómez-Cañón JS, Cano E, Herrera P, Gómez E. Transfer learning from speech to music: towards language-sensitive emotion recognition models. In: Heusdens R, Richard C. Proceedings 28th European Signal Processing Conference (EUSIPCO 2020). 1 ed. Amsterdam: European Association for Signal Processing (EURASIP); 2021. p. 136-140. |
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Gómez-Cañón JS, Cano E, Pandrea AG, Herrera P, Gómez E. Language-Sensitive Music Emotion Recognition Models: Are We Really There Yet?. 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. 576-580. |
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Gómez-Cañón JS, Herrera P, Cano E, Gómez E. Personalized musically induced emotions of not-so-popular Colombian music. In: Ranzato MA. 35th Conference on Neural Information Processing Systems (NeurIPS 2021). 1 ed. Neural Information Processing Systems; 2021. p. 1-7. |
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Gover M, Sarasua Á, Parra H, Janer J, Mayor O, Cuesta H, Pascual MP, Gkiokas A, Gómez E. Choir Singers Pilot. An online platform for choir singers practice. In: TBD. Proceedings of the Web Audio Confernece 2021. 1 ed. 2021. p. 1-6. |
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Gutiérrez Páez NF, Gómez-Cañón JS, Porcaro L, Santos P, Hernández-Leo D, Gómez E. Emotion annotation of music: a citizen science approach. In: Hernández-Leo D, Hishiyama R, Zurita G, Weyers B, Nolte A, Ogata H. Collaboration Technologies and Social Computing. Proceedings of the 27th International Conference, CollabTech 2021. 1 ed. Cham: Springer; 2021. p. 51-66. |
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Hershey S, Ellis D PH, Fonseca E, Jansen A, Liu C, Channing Moore R, Plakal M. The Benefit of Temporally-Strong Labels In Audio Event Classification. arXiv.org; 2021. |
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Hughes A, Jorda S. Applications of Biological and Physiological Signals in Commercial Video Gaming and Game Research: A Review. Frontiers in computer science 2021; 3( ). |
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Hupont I, Tolan S, Freire A, Porcaro L, Estevez S, Gómez E. How diverse is the ACII community? Analysing gender, geographical and business diversity of affective computing research. International Conference on Affective Computing and Intelligent Interaction 2021; ( ). |
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Jorda Puig, Sergi. Sonigraphical Instruments: From FMOL To the reacTable. In: Minsky M, Xia G (eds.). Proceedings International Conference on New Interfaces for Musical Expression (Nime 21). 1 ed. Shangay: 2021. p. 89-106. |
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Lu WT, Wang JCH, Won M, Choi K, Song X. SpecTNT: a Time-Frequency Transformer for Music Audio. In: AA. VV.. Proceedings 22nd International Society for Music Information Retrieval Conference (ISMIR 2021) Online. 1 ed. 2021. p. 396-403. |
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Mallol-Ragolta A, Cuesta H, Gómez E, Schuller BW. Cough-based COVID-19 detection with contextual attention convolutional neural networks and gender information. In: He¿manský H, ¿ernocký H (eds.). Proceedings Interspeech 2021. 1 ed. Brno: 2021. p. 941-945. |
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Narang J, Miron M, Lizarraga X, Serra X. Analysis of Musical Dynamics in Vocal Performances. In: Hirata K, Tojo S, Kitahara T (ed.). 15th International Symposium on Computer Music Multidisciplinary Research (CMMR 2021). 1 ed. Tokio: 2021. p. 99-108. |
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Nuttall T, Casado MG, Ferraro A, Conklin D, Caro Repetto R. A computational exploration of melodic patterns in Arab-Andalusian music. Journal of Mathematics and Music 2021; 15(2): 168-180. |
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Nuttall T, Haki B, Jorda S. Transformer Neural Networks for Automated Rhythm Generation. In: Minsky M, Xia G (eds.). Proceedings International Conference on New Interfaces for Musical Expression (Nime 21). 1 ed. Shangay: 2021. |
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Porcaro L, Castillo C, Gómez E. Diversity by design in music recommender systems. Transactions of the International Society for Music Information Retrieval. Transactions of the International Society for Music Information Retrieval 2021; 4(1): 114-126. |
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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. |