Publications-ppc
2017 (66)Faraldo Á, Jordà S, Herrera P. A Multi-Profile Method for Key Estimation in EDM. In: -. Euromac - European Music Analysis Conference. 1 ed. 2017. |
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Faraldo Pérez, Ángel; Herrera Boyer, Perfecto. The House Harmonic Filler: Interactive Exploration of Chord Sequences by Means of an Intuitive Representation. In: -. TENOR2017 Third International Conference on Technologies for Music Notation and Representation. 1 ed. 2017. p. 137-143. |
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Fonseca E, Gong R, Bogdanov D, Slizovskaia O, Gomez E, Serra X. Acoustic scene classification by ensembling gradient boosting machine and convolutional neural networks. In: Virtanen T, Mesaros A, Heittola T, Diment A, Vincent E, Benetos E, Elizalde B. Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop. 1 ed. 2017. p. 37-41. |
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Fonseca E, Pons J, Favory X, Font F, Bogdanov D, Ferraro A, Oramas S, Porter A, Serra X. Freesound datasets: a platform for the creation of open audio datasets. In: Cunningham SJ, Duan Z, Hu X, Turnbull D. Proceedings of the 18th International Society for Music Information Retrieval Conference. 1 ed. International Society for Music Information Retrieval; 2017. p. 486-493. |
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Font F, Roma G, Serra X. Sound sharing and retrieval. In: Virtanen T, Plumbley MD, Ellis D (eds.). Computational Analysis of Sound Scenes and Events. 1 ed. Springer International Publishing; 2017. p. 279-301. |
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Gómez E, Arias P, Zinemanas P, Haro G. Visual Music Transcription of Clarinet Video Recordings Trained with Audio-Based Labelled Data. Computer Vision Workshops (ICCV Workshops) 2017; ( ): 463-470. |
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Gong R, Caro-Repetto R, Serra X. Creating an A Cappella Singing Audio Dataset for Automatic Jingju Singing Evaluation Research. In: AA.VV.. 4th International Workshop on Digital Libraries for Musicology. 1 ed. ACM; 2017. |
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Gong R, Obin N, Dzhambazov G, Serra X. Score-informed syllable segmentation for Jingju a cappella singing voice with Mel-frequency intensity profiles. In: Barbancho I, Tardón LJ, Peinado A (eds.). Proceedings of the 7th International Workshop on Folk Music Analysis. 1 ed. Málaga: Folk Music Analysis; 2017. p. 107-113. |
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Gong R, Pons J, Serra X. Audio to Score Matching by Combining Phonetic and Duration Information. In: Cunningham SJ, Duan Z, Hu X, Turnbull D. Proceedings of the 18th International Society for Music Information Retrieval Conference. 1 ed. International Society for Music Information Retrieval; 2017. p. 428-434. |
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Gong R, Serra X. Identification of potential Music Information Retrieval technologies for computer-aided jingju singing training. 5th China Conference on Sound and Music Technology; 2017. |
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Gong, Rong; Caro Repetto, Rafael; Serra, Xavier. Creating an a cappella singing audio dataset for automatic jingju singing evaluation research. In: -. The semantic web: ESWC 2017 Satellite Events. 1 ed. Springer; 2017. p. 37-40. |
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Jordà Puig, Sergi. Interactivity and Live Computer Music. In: Collins N, Escrivan J (eds.). The Cambridge Companion to Electronic Music. 1 ed. Cambridge University Press; 2017. p. 86-103. |
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Jorda Puig, Sergi. Sonigraphical Instruments: From FMOL to the reacTable. In: Refsum Jensenius, Alexander; Lyons, Michael. A NIME Reader Fifteen Years of New Interfaces for Musical Expression. 1 ed. Springer International Publishing; 2017. p. 79-96. |
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Liem, C., Gómez, E., Tzanetakis, G.. Multimedia Technologies for Enriched Music Performance, Production and Consumption. IEEE Multimedia 2017; 24(1): 20-23. |
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Maestre, E., Papiotis P., Marchini M., Llimona Q., Mayor O., Pérez A., Wanderley M. M.. Enriched Multimodal Representations of Music Performances: Online Access and Visualization. IEEE Multimedia 2017; 24(1): 24-34. |
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Martel H, Miron M. Data augmentation for deep learning source separation of HipHop songs. In: -. 10th International Workshop on Machine Learning and Music. 1 ed. 2017. |
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Meléndez-Catalán B, Molina E, Gómez E. BAT: An open-source, web-based audio events annotation tool. In: AA. VV.. 3rd Web Audio Conference. 1 ed. Queen Mary Unversity of London. School of Electronic Engineering and Computer Science; 2017. |
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Miron M, Janer J, Gómez E. Generating data to train convolutional neural networks for classical music source separation. In: AA.VV.. Proceedings of the 14th Sound and Music Computing Conference 2017. 1 ed. 2017. p. 227-233. |
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Miron M, Janer J, Gómez E. Monaural score-informed source separation for classical music using convolutional neural networks. In: Cunningham SJ, Duan Z, Hu X, Turnbull D. Proceedings of the 18th International Society for Music Information Retrieval Conference. 1 ed. International Society for Music Information Retrieval; 2017. p. 55-62. |
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Miron M, Slizovskaia O. Convolutional neural networks for audio processing: starting pack. 2017. |