Publications-ppc
2020 (52)Won M, Chun S, Nieto O, Serra X. Data-Driven Harmonic Filters for Audio Representation Learning. In: AA. VV.. Proceedings ICASSP 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1 ed. Barcelona: IEEE; 2020. p. 536-540. |
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Won M, Oramas S, Nieto O, Gouyon F, Serra X. Multimodal Metric Learning For Tag-Based Music Retrieval. arXiv.org; 2020. |
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Yesiler F, Serrà J, Gómez E. Accurate and scalable version identification using musically-motivated embeddings. In: -. 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1 ed. Barcelona: IEEE; 2020. p. 20-25. |
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Yesiler F, Serrà J, Gómez E. Less is more: faster and better music version identification with embedding distillation. In: Laplante, A; Fujinaka, I. Late breaking/Demo of the 21st International Society for Music Information Retrieval Conference. 1 ed. 2020. p. 884-892. |
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Zinemanas P, Hounie I, Cancela P, Font F, Rocamora M, Serra X. DCASE-models: a phyton library for computational environmental sound analysis using deep-learning models. In: Ono N, Harada N, Kawaguchi Y, Mesaros A, Imoto K, Koizumi Y, Komatsu T (eds.). Proceedings of the Fifth Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2020). 1 ed. Tokio: Zenodo; 2020. p. 240-244. |
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Zinemanas P, Rocamora M, Miron M, Font F, Serra X. An Interpretable Deep Learning Model for Automatic Sound Classification. In: Ono N, Harada N, Kawaguchi Y, Mesaros A, Imoto K, Koizumi Y, Komatsu T (eds.). Proceedings of the Fifth Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2020). 1 ed. Tokio: Zenodo; 2020. |
2019 (51)Alonso-Jiménez P, Joglar-Ongay L, Serra X, Bogdanov D. Automatic Detection of Audio Problems for Quality Control in Digital Music Distribution. In: Loughran R, Angus-Whiteoak J (eds.). Proceedings AES 146th Pro Audio Convention. 1 ed. Dublin: Audio Engineering Society; 2019. |
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Blanco AD, Ramírez R. Evaluation of a Sound Quality Visual Feedback System for Bow Learning Technique in Violin Beginners: An EEG Study. Frontiers in Psychology 2019; 10(165). |
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Bogdanov D, Porter A, Schreiber H, Urbano J, Oramas S. The AcousticBrainz genre dataset: Multi-source, multi-level, multi-label, and large-scale. In: -. 20th Annual Conference of the International Society for Music Information Retrieval (ISMIR). 1 ed. Delft: ISMIR; 2019. p. 360-367. |
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Bogdanov D, Porter A, Tovstogan P, Won M. MediaEval 2019: emotion and theme recognition in music using Jamendo. CEUR Workshop Proceedings 2019; ( ): 1-3. |
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Bogdanov D, Won M, Tovstogan P, Porter A, Serra X. The MTG-Jamendo Dataset for Automatic Music Tagging. In: -. Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019). 1 ed. 2019. |
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Ciamarone L, Bozkurt B, Serra X. Automatic Dastgah Recognition using Markov Models. In: Aramaki M, Derrien O, Kronland-Martinert Ystad S. Proceedings of the 14th International Symposium on Computer Music Multidisciplinary Research. 1 ed. Les éditions de PRISM; 2019. p. 51-59. |
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Cuesta H, Gómez E, Chandna P. A Framework for multi-f0 Modeling in SATB Choir Recordings. In: -. Proceedings of the 16th Sound & Music Computing Conference (SMC 2019). 1 ed. 2019. p. 447-453. |
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Dalmazzo D, Ramírez R. Bowing gestures classification in violin performance: a machine learning approach. Frontiers in Psychology 2019; 10(344). |
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Demirel E, Bozkurt B, Serra X. Automatic chord-scale recognition using harmonic pitch class profiles. In: -. Proceedings of the 16th Sound & Music Computing Conference (SMC 2019). 1 ed. 2019. p. 72-79. |
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Falcao F, Bozkurt B, Serra X, Andrade N, Baysal, O. A Dataset of rhythmic pattern reproductions and baseline automatic assessment system. In: -. 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019). 1 ed. Society for Music Information Retrieval (ISMIR 2019); 2019. p. 439-445. |
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Favory X, Serra X. Multi Web Audio Sequencer: Collaborative Music Making . arxiv.org 2019; ( ). |
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Favory X, Serra X. Multi Web Audio Sequencer: Collaborative Music Making. arXiv.org; 2019. |
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Ferraro A, Bogdanov D, Serra S, Yoon J. Artist and style exposure bias in collaborative filtering based music recommendations. In: Miron M, Charisi V (ed.). Proceedings 1st Workshop on Human-Centric Music Information Research Systems. 1 ed. Delft: ACM Fat Network; 2019. p. 8-10. |
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Ferraro A, Bogdanov D, Serra S, Yoon J. Artist and style exposure bias in collaborative filtering based music recommendations. In: Miron, M.; Charisi, V.; Gómez, E.. Proceedings of the 1st Workshop on Designing Human-Centric MIR Systems. 1 ed. ACM FAT Network; 2019. p. 8-10. |