Publications-ppc
2019 (51)Ferraro A, Bogdanov D, Serra X. Skip prediction using boosting trees based on acoustic features of tracks in sessions. arxiv.org 2019; ( ): 1-4. |
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Ferraro A, Bogdanov D, Serra X. Skip prediction using boosting trees based on acoustic features of tracks in sessions. arXiv.org; 2019. |
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Fonseca E, Font F, Serra X. Model-agnostic Approaches to Handling Noisy Labels When Training Sound Event Classifiers. In: IEEE. 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. 1 ed. IEEE; 2019. p. 16-20. |
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Fonseca E, Plakal M, Ellis DPW, Font F, Favory X, Serra X. Learning sound event classifiers from web audio with noisy labels. In: IEEE. IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2019. 1 ed. 2019. p. 21-25. |
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Giraldo SI, Ramírez R, Mayor O, Nou I, Ortega A, Perez-Carrillo A, Waddell G, Williamon A. Automatic assessment of tone quality in violin music performance. Frontiers in Psychology 2019; 10(334): 1-12. |
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Giraldo, S.; Nasarre, A.; Heroux, I.; Ramirez, R.. A Machine Learning Approach to Study Expressive Performance Deviations in Classical Guitar. In: Cellier P, Driessens K (eds.). Machine Learning and Knowledge Discovery in Databases International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II. 1 ed. Springer Nature; 2019. p. 531-536. |
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Gómez JS, Herrera P, Gómez E, Cano E. The emotions that we perceive in music: the influence of language and lyrics comprehension on agreement. In: Athanasopoulos G, Lahdelma I, Lennie T (eds). Proceedings Workshop-Symposium on Research Methods in Music and Emotion (CFP). 1 ed. Durham: Durham University; 2019. p. 1-7. |
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Gramunt N, Desiré Morera A, Gómez E, Herrera P, Nebot E, Fauria K, Piromalli D, Molinuevo JL. Lifesoundtrack: an intergenerational musical experience to promote wellbeing in people with dementia while increasing community awareness. In: -. 14th International Conference on Alzheimer's and Parkinson's Diseases. 1 ed. 2019. |
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Haki B, Jorda S. A Bassline Generation System Based on Sequence-to-Sequence Learning. In: AA. VV.. Proceedings of the International Conference on New Interfaces for Musical Expression (NIME 2019). 1 ed. New Interfaces for Musical Expression (NIME); 2019. p. 204-209. |
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Joglar-Ongay L, Correya A, Alonso-Jiménez P, Serra X, Bogdanov D. Essentia in the browse. In: Xambó A,Martín SR, Roma G (EDS.). Proceedings of the International Web Audio Conference 2019. 1 ed. Norwegian University of Science and Technology; 2019. p. 114-115. |
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Lluís F, Pons J, Serra X. End-to-end music source separation: is it possible in the waveform domain?. In: Varis. 20th Annual Conference of the International Speech Communication Association 1 ed. Interspeech 2019; 2019. |
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Lluís F, Pons J, Serra X. End-to-End Music Source Separation: Is it Possible in the Waveform Domain?. In: International Speech Comunication Association. Interspeech 2019. 1 ed. 2019. p. 4619-4623. |
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Meléndez-Catalán, B; Molina E; Gómez E. Open Broadcast Media Audio from TV: A Dataset of TV Broadcast Audio with Relative Music Loudness Annotations. Transactions of the International Society for Music Information Retrieval 2019; 2(1): 43-51. |
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Muneratti Ortega FJ, Perez-Carrillo A, Ramírez R. Predicting Dynamics in Violin Pieces with Features from Melodic Motifs. In: Cellier P, Driessens K (eds.). Machine Learning and Knowledge Discovery in Databases International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II. 1 ed. Springer Nature; 2019. p. 517-523. |
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Nuttall, T; García-Casado, M; Núñez-Tarifa, V; Caro Repetto, R; Serra, X. Contributing to new musicological theories with computational methods: the case of centonization in Arab-Andalusian music. In: -. 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019). 1 ed. Society for Music Information Retrieval (ISMIR 2019); 2019. p. 223-228. |
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Ortega FJM, Giraldo S, Ramírez R. Phrase-Level Modeling of Expression in Violin Performances. Frontiers in Psychology 2019; 10(776). |
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Pauwels J, O'Hanlon K, Gómez E, Sandler MB. 20 Years of automatic chord recognition from audio. In: -. 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019). 1 ed. Society for Music Information Retrieval (ISMIR 2019); 2019. p. 54-63. |
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Perez-Lopez A, Stefanakis N. Analysis of spherical isotropic noise fields Sith an A-Format tetrahedral microphone. Journal of the Acoustical Society of America 2019; 146(4). |
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Pons J. Deep neural networks for music and audio classification . UPF; 2019. |
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Pons J. Deep neural networks for music source separation. Zenodo.org; 2019. |