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Xavier Serra

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  • Publications/

Publications

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Showing 1 - 30 of 287 results.
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Ferraro A, Oramas S, Quadrana M, Serra X. Maximizing the Engagement: Exploring New Signals of Implicit Feedback in Music Recommendations. In: Santos R, Marinho L. Proceedings 14th ACM Conference on Recommender Systems (on line). 1 ed. Rio de Janeiro: Association for Computing Machinery; 2020. p. 1-6.
  • e-Repositori
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Ferraro A, Bogdanov D, Serra X, Jeon JH, Yoon J. How Low Can You Go? Reducing Frequency and Time Resolution in Current CNN Architectures for Music Auto-tagging. In: Heusdens R, Richard C. Proceedings 28th European Signal Processing Conference (EUSIPCO 2020). 1 ed. Amsterdam: European Association for Signal Processing (EURASIP); 2020. p. 131-135.
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Ramires A, Chandna P, Favory X, Gómez E, Serra X. Neural Percussive Synthesis Parameterised by High-Level Timbral Features. In: AA. VV.. Proceedings ICASSP 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1 ed. Barcelona: IEEE; 2020. p. 786-790.
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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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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.
  • e-Repositori
Eremenko V, Morsi, A, Narang J, Serra X. Performance assessment technologies for the support of musical instrument learning. In: AA.VV.. Proceedings of the 12th International Conference on Computer Supported Education. 1 ed. DBLP Thomsom Reuters; 2020. p. 629-640.
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  • e-Repositori
Favory X, Font F, Serra X. Search Result Clustering in Collaborative Sound Collections. In: AA. VV.. Proceedings of the 2020 International Conference on Multimedia Retrieval (ICMR 20). 1 ed. Dublin: 2020. p. 1-8.
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Correya A, Bogdanov D, Jjoglar-Ongay L, Serra X. Essentia.js: a JavaScript library for music and audio analysis on the web. In: Laplante A, Fujinaga I. Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR). 1 ed. Montreal: International Society for Music Information Retrieval (ISMIR); 2020. p. 605-612.
  • e-Repositori
Ramires A, Font F, Bogdanov D, Smith JBL, Yang Y, Ching J, Chen B, Wu Y, Wei-Han H, Serra X. The Freesound Loop dataset and annotation tool. In: AA. VV.. Proceedings of the 21th International Society for Music Information Retrieval Conference, ISMIR 2020. 1 ed. Montreal: ISMIR; 2020. p. 287-294.
  • e-Repositori
Ramires A, Bernardes G, Davies MEP, Serra X. TIV.lib: an open-source library for the tonal description of musical audio open-source library for the tonal description of musical audio. In: Gianpaolo Evangelista. Proceedings of the 23rd International Conference on Digital Audio Effects. 1 ed. 2020. p. 304-309.
  • e-Repositori
Ferraro, A.; Jeon, JH; Kim, B.; Serra, X.; Bogdanov, D.. Artist biases in collaborative filtering for music recommendation. In: ICML. Proceedings of the 37 th International Conference on Machine Learning. 1 ed. 2020.
  • e-Repositori
Tovstogan, P.; Serra, X.; Bogdanov, D.. Web interface for exploration of latent and tag spaces in music auto-tagging. In: ICML. Proceedings of the 37 th International Conference on Machine Learning. 1 ed. 2020.
  • e-Repositori
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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Ferraro A, Jannach D, Serra X. Exploring longitudinal effects of session-based recommendations. In: Santos R, Marinho L. Proceedings RecSys '20: Fourteenth ACM Conference on Recommender Systems (on line). 1 ed. Rio de Janeiro: Association for Computing Machinery; 2020. p. 474-479.
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Favory X, Drossos K, Virtanen T, Serra X. COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations. In: -. Proceedings Self-supervision in Audio and Speech Workshop at the 37th International Conference on Machine Learning (ICML). 1 ed. Viena: -; 2020. p. 1-8.
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Won M, Chun S, Serra X. Toward Interpretable Music Tagging with Self-Attention. arXiv.org; 2019.
  • e-Repositori
Alonso-Jiménez P, Joglar-Ongay L, Serra X, Bogdanov D. Automatic Detection of Audio Problems for Quality Control in Digital Music Distribution. AES journal of the Audio Engineering Society, audio, acoustics, applications 2019; ( ).
  • e-Repositori
Fonseca, E.; Plakal M.; Ellis, D. P. W.; Font, F.; Favory, X.; Serra, X.. Learning Sound Event Classifiers from Web Audio with Noisy Labels. In: -. ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1 ed. The Institute of Electrical and Electronics Engineers, Inc.; 2019. p. 21-25.
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Pons J, Serra X. Randomly weighted CNNs for (music) audio classification. In: -. ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1 ed. The Institute of Electrical and Electronics Engineers, Inc.; 2019. p. 336-340.
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Pons J, Serrà J, Serra X. Training neural audio classifiers with few data. In: -. ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1 ed. The Institute of Electrical and Electronics Engineers, Inc.; 2019. p. 16-20.
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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.
  • Publication link
  • e-Repositori
Yesiler F, Tralie C, Correya A, Silva DF, Tovstogan P, Gómez E, Serra X. Da-TACOS: A data set for cover song identification and understanding. In: -. 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019). 1 ed. Society for Music Information Retrieval (ISMIR 2019); 2019. p. 327-334.
  • e-Repositori
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.
  • e-Repositori
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.
  • e-Repositori
Won M, Chun S, Nieto O, Serra X. Automatic music tagging with Harmonic CNN. In: -. 20th International Society for Music Information Retrieval Conference 1 ed. Society for Music Information Retrieval; 2019.
  • e-Repositori
Pons J, Serra X. musicnn: pre-trained convolutional neural networks for music audio tagging. In: -. 20th International Society for Music Information Retrieval Conference 1 ed. Society for Music Information Retrieval; 2019.
  • Other resources
Lluís F, Pons J, Serra X. End-to-End Music Source Separation: Is it Possible in the Waveform Domain?. In: -. Interspeech 2019. 1 ed. 2019.
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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.
  • e-Repositori
  • Dataset
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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