Batlle-Roca R, Herrera-Boyer P, Meléndez B, Molina E, Serra X. Towards a characterization of background music audibility in broadcasted TV. International Journal of Environmental Research and Public Health 2023; 20(1): 1-15.

Kim H, Miron M, Serra X. Score-Informed MIDI Velocity Estimation for Piano Performance by FiLM Conditioning. In: AA. VV.. Proceedings of he 2023 Sound & Music Computing Conference (SMC Conference 2023). 1 ed. Stockholm: 2023. p. 1-9.

Ramirez-Melendez R, Reija X. The Creative Drummer: An EEG-Based Pilot Study on the Correlates of Emotions and Creative Drum Playing. Brain Sciences 2023; 13(1).

Singh R, Zinemanas P, Serra X, Bello JP, Fuentes M. FlowGrad: Using Motion for Visual Sound Source Localization. In: AA. VV.. Proceedings 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023). 1 ed. Island of Rhodes: IEEE Signal Processing Society; 2023. p. 1-5.

Tamer NC, Özer Y, Müller M, Serra X. TAPE: An End-to-End Timbre-Aware Pitch Estimator. Journal of International Economics 2023; ( ): 1-5.

Weck B, Serra X. Data leakage in cross-modal retrieval training: A case study. In: AA. VV.. Proceedings 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023). 1 ed. Island of Rhodes: IEEE Signal Processing Society; 2023. p. 1-5.

Bogdanov D, Lizarraga Seijas X, Alonso-Jiménez P, Serra X. MusAV: A dataset of relative arousal-valence annotations for validation of audio models. In: AA. VVV.. Proceedings 23rd International Society for Music Information Retrieval Conference (ISMIR 2022). 1 ed. Bengaluru: ISMIR; 2022. p. 650-658.

Chandna P, Cuesta H, Petermann D, Gómez E. A Deep-Learning Based Framework for Source Separation, Analysis, and Synthesis of Choral Ensembles. Frontiers 2022; 2( ): 1-15.

Cortès G, Ciurana A, Molina E, Miron M, Meyers O, Six J, Serra X. BAF: an audio fingerprinting dataset for broadcast monitoring. In: AA. VVV.. Proceedings 23rd International Society for Music Information Retrieval Conference (ISMIR 2022). 1 ed. Bengaluru: ISMIR; 2022. p. 908-916.

Drysdale J, Hockman J, Ramires A, Serra X. Improved automatic instrumentation role classification and loop activation transcription. In: Evangelista G, Holighaus N (eds.). Proceedings - Digital Audio Effects 20's Vienna (eDAFx2020) 1 ed. Viena: IEEE; 2022. p. 264-271.

Haki B, Nieto M, Pelinski T, Jordà S. Real-Time Drum Accompaniment Using Transformer Architecture. In: AA. VV.. Proceedings of the 3rd Conference on AI Music Creativity (AIMC 2022). 1 ed. AIMC; 2022. p. 1-10.

Kim H, Miron M, Serra X. Note level MIDI velocity estimation for piano performance. UPF; 2022.

Marcos-Fernández J, Joglar-Ongay L, Serra X, Bogdanov D. Audio Analysis Applications in the Browser with Essentia.js. In: AA. VV.. Proceedings WAC2022. 7th International Web Audio conference. 1 ed. Cannes: 2022.

Narang J, Miron M, Srinivasamurthy A, Serra X. Analysis of musical dynamics in vocal performances using loudness measures. In: Evangelista G, Holighaus N (eds.). Proceedings - Digital Audio Effects 20's Vienna (eDAFx2020) 1 ed. Viena: IEEE; 2022. p. 33-39.

Perez M, Kirchhoff H, Serra X. A Comparison of Pitch Chroma Extraction Algorithms. In: Michon R, Pottier L, Orlarey Y (eds.). Proceedings of the SMC 2022 Music technology and design. 1 ed. Saint-Étienne: Université Jean Monnet of Saint-Étienne (CLLA); 2022. p. 224-231.

Porcaro L, Gómez E, Castillo C. Diversity in the music listening experience: insights from focus group interviews. In: AA. VV.. CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval;. 1 ed. Regensburg: ACM; 2022. p. 272-276.

Ramires A, Juras J, Parker JD, Serra X. A study of control methods for percussive sound synthesis based on gans. In: Evangelista G, Holighaus N (eds.). Proceedings - Digital Audio Effects 20's Vienna (eDAFx2020) 1 ed. Viena: IEEE; 2022. p. 224-231.

Ramoneda P, Can Tamer N, Eremenko V, Serra X, Miron M. Score difficulty analysis for piano performance education based on fingering. In: Li H, Furui S (eds,). 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 1 ed. Singapur: IEEE Signal Processing Society; 2022. p. 201-205.

Sayis B., Ramirez R, Pares N. Mixed reality or LEGO game play? Fostering social interaction in children with Autism. Virtual reality 2022; 26(2): 771-787.

Schmidt N, Pons J, MironM. PodcastMix: A dataset for separating music and speech in podcasts. In: Ko H, Hansen JHL. Proceedings of Interspeech 2022. 1 ed. International Speech Communication Association; 2022. p. 231-235.

Tovstogan P, Serra X, Bogdanov D. Similarity of nearest-neighbor query results in deep latent spaces. In: Michon R, Pottier L, Orlarey Y (eds.). Proceedings of the SMC 2022 Music technology and design. 1 ed. Saint-Étienne: Université Jean Monnet of Saint-Étienne (CLLA); 2022. p. 287-294.

Weck B, Pérez M, Kirchhoff H, Serra X. Matching Text and Audio Embeddings: Exploring Transfer-learning Strategies for Language-based Audio Retrieval. In: Lagrange M, Mesaros AM, Pellegrini T, Richard G, Serizel R, Stowell D (eds.). Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2022). 1 ed. Nancy: Dcase; 2022. p. 206-211.

Blanco AD, Tassani S, Ramirez R. Effects of Visual and Auditory Feedback in Violin and Singing Voice Pitch Matching Tasks. Frontiers in Psychology 2021; 12( ): 1-15.

Bonada J, Blaauw M. Semi-supervised Learning for Singing Synthesis Timbre. In: AA. VV.. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021). 1 ed. arXiv.org; 2021. p. 783-787.

Correya A, Marcos-Fernández J, Joglar-Ongay L, Alonso-Jiménez P, Serra X, Bogdanov D. Audio and Music Analysis on the Web using Essentia.js. Transactions of the International Society for Music Information Retrieval 2021; 4(1): 167-181.

Favory X, Drossos K, Virtanen T, Serra X. Learning Contextual Tag Embeddings for Cross-Modal Alignment of Audio and Tags. 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. 596-600.

Ferraro A, Favory X, Drossos K, Kim Y, Bogdanov D. Enriched Music Representations with Multiple Cross-modal Contrastive Learning. IEEE Signal Processing Letters 2021; ( ): 1-6.

Ferraro A, Serra X, Bauer C. What is fair? Exploring the artists' perspective on the fairness of music streaming platforms.. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2021; ( ): 562-584.

Fonseca E, Jansen A, Ellis DPW, Wisdom S, Tagliasacchi M, Hershey JR, Plakal M, Hershey S, Channing Moore, Serra X. Self-Supervised Learning from Automatically Separated Sound Scenes. In: IEEE Workshop. WASPAA 2021. 1 ed. Nova York: IEEE Workshop; 2021. p. 1-10.

Font F. SOURCE: a Freesound community music sampler. In: Audio mostly, A conference on interaction with sound. In: AA. VV.. AM '21: Audio Mostly 2021. 1 ed. Trento: Association for Computing Machinery (ACM); 2021. p. 182-187.

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.

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.

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.

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.

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.

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; ( ).

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.

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.

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.

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.

Srinivasamurthy A, Gulati S, Caro R, Serra X,. Saraga: Open Datasets for Research on Indian Art Music. Empirical Musicology Review 2021; 16(1): 85-98.

Weigl DM, Crawford T, Gkiokas A, Goebl W, Gómez E, Gutiérrez NF, Liem CCS, Santos P. FAIR Interconnection and Enrichment of Public-Domain Music Resources on the Web. Empirical Musicology Review 2021; 16(1): 16-33.

Won M, Oramas S, Nieto O, Gouyon F, Serra X. Multimodal Metric Learning For Tag-Based Music Retrieval. 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. 591-595.

Yesiler F, Doras G, Bittner RM, Tralie CJ, Serra J. Audio-Based Musical Version Identification: Elements and challenges. IEEE signal processing magazine 2021; 38(6): 115-136.

Yesiler F, Molina E, Serrà J, Gómez E. Investigating the efficacy of music version retrieval systems for setlist identification. In: AA. VV.. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021). 1 ed. IEEE; 2021. p. 1-5.

Zinemanas P, Rocamora M, Fonseca E, Font F, Serra X. Toward interpretable polyphonic sound event detection with attention maps based on local prototypes. In: 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. p. 50-54.

Alonso-Jiménez P, Bogdanov D, Pons J, Serra X. Tensorflow audio models in Essentia. In: -. ICASSP 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1 ed. The Institute of Electrical and Electronics Engineers, Inc.; 2020. p. 266-270.

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.

Blaauw M, Bonada J, Daido R. Data Efficient Voice Cloning for Neural Singing Synthesis. In: -. ICASSP 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1 ed. The Institute of Electrical and Electronics Engineers, Inc.; 2020. p. 6840-6844.

Caro J, Díaz-de la Fuente S, Ahedo V, Zurro D, Madella M, Galán JM, Izquierdo LR, Santos JI, Olmo R. Problemas y soluciones. In: Caro, J.;Díaz-de la Fuente, S.; Ahedo, V.; Zurro, D.; Madella, M.; Galán, J.M.; Izquierdo, L.R.; Santos, J.I.; del Olmo, R.. Terra Incognita: Libro blanco sobre transdisciplinariedad y nuevas formas de investigación en el Sistema Español de Ciencia y Tecnología. 1 ed. Burgos: Pressbooks; 2020. p. 163-174.

Chandna P, Blaauw M, Bonada J, Gomez E. A Vocoder Based Method For Singing Voice Extraction. In: -. ICASSP 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1 ed. The Institute of Electrical and Electronics Engineers, Inc.; 2020. p. 1-5.

Chandna P, Cuesta H, Gómez E. A Deep Learning Based Analysis-Synthesis Framework For Unison Singing. 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. 598-604.

Cuesta H, McFee B, Gómez E. Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks. In: Laplante, A; Fujinaka, I. Late breaking/Demo of the 21st International Society for Music Information Retrieval Conference. 1 ed. 2020. p. 302-309.

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. Praga: DBLP Thomsom Reuters; 2020. p. 629-640.

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.

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.

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.

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 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1 ed. The Institute of Electrical and Electronics Engineers, Inc.; 2020. p. 21-25.

Gómez-Cañón, JS, Cano E, Herrera P, Gómez E. Joyful for you and tender for us: the influence of individual characteristics and language on emotion labeling and classification. In: Laplante A, Fujinaga I (eds.). ISMIR 2020: 21st International Society for Music Information Retrieval Conference. 1 ed. Montreal: International Society for Music Information Retrieval (ISMIR); 2020. p. 853-860.

Kadandale VS, Montesinos JF, Haro G, Gómez E. Multi-channel U-Net for Music Source Separation. In: AA. VV.. IEEE MMSP 2020. IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP). 1 ed. IEEE; 2020. p. 1-6.

Michelsanti D, Slizovskaia O, Haro G, Gómez E, Tan Z, Jensen J. Vocoder-Based Speech Synthesis from Silent Videos. Proceedings Interspeech 202 arxiv.org; 2020.

Moore RC, Jansen A, Ellis DPW, Plakal M, Hershey S, Fonseca E. Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking. IEEE-ACM transactions on audio, speech, and language processing 2020; 27( ): 1235-1239.

Papatzikis E, Zeba F, Särkämö T, Ramirez R, Grau-Sánchez J, Tervaniemi M, Loewy J. Mitigating the impact of the novel coronavirus pandemic on neuroscience and music research protocols in clinical populations. Frontiers in Psychology 2020; (11).

Petermann D, Chandna P, Cuesta H, Bonada J, Gómez E. Deep Learning Based Source Separation Applied To Choir Ensembles. In: Laplante, A; Fujinaka, I. Late breaking/Demo of the 21st International Society for Music Information Retrieval Conference. 1 ed. 2020. p. 733-739.

Pons J, Serra X. Randomly weighted CNNs for (music) audio classification. In: -. ICASSP 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1 ed. The Institute of Electrical and Electronics Engineers, Inc.; 2020. p. 336-340.

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.

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.

Shakespeare D, Porcaro L, Gómez E, Castillo C. Exploring Artist Gender Bias in Music Recommendation. CEUR Workshop Proceedings 2020; 2697( ): 1-9.

Turpault N, Serizel R, Wisdom S, Erdogan H, Hershey J, Fonseca E, Seetharaman P, Salamon J. Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes. arXiv.org; 2020.

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.

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.

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.

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.

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.

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.

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.

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.

Favory X, Serra X. Multi Web Audio Sequencer: Collaborative Music Making . arxiv.org 2019; ( ).

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.

Ferraro A, Bogdanov D, Serra X. Skip prediction using boosting trees based on acoustic features of tracks in sessions. arxiv.org 2019; ( ): 1-4.

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.

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.

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.

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.

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.

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.

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.

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.

Pons J. Deep neural networks for music and audio classification . UPF; 2019.

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.

Porcaro L, Gómez E. 20 years of playlists: A statistical analysis on popularity and diversity. In: -. 20th Annual Conference of the International Society for Music Information Retrieval (ISMIR). 1 ed. Delft: ISMIR; 2019. p. 130-136.

Porcaro L, Saggion H. Recognizing musical entities in user-generated content. Computación y sistemas 2019; 23(3): 1079-1088.

Ramires A, Serra X. Data augmentation for instrument classification robust to audio effects. In: AA VV. Proceedings of the 22nd International Conference on Digital Audio Effects (DAFx-19). 1 ed. Birmingham: Dafx; 2019. p. 1-6.

Sayis B, Crowell C, Benitez J, Ramirez R, Pares N. Computational modeling of psycho-physiological arousal and social initiation of children with autism in interventions through full-body interaction. In: AA.VV.. Proceedings 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII). 1 ed. Cambridge: IEEE; 2019. p. 573-579.

Weigl DM, Goebl W, Crawford T, Gkiokas A, Gutierrez NF, Porter A, Santos P, et al.. Interweaving and enriching digital music collections for scholarship, performance, and enjoyment. In: -. Proceedings of DLfM 2019. The 6th International Conference on Digital Libraries for Musicology. 1 ed. New York: Association for Computing Machinery; 2019. p. 84-88.

Won M, Chun S, Serra X. Toward Interpretable Music Tagging with Self-Attention. arXiv.org; 2019.

Zinemanas P, Cancela P, Rocamora M. End-to-end Convolutional Neural Networks for Sound Event Detection in Urban Environments. In: Deart V, Ben Rejeb T, Balandin S. Proceedings of the 24th Conference of Open Innovations Association FRUCT. 1 ed. Moscou: IEEE; 2019. p. 533-539.

Zinemanas P, Rocamora M, Jure L. Improving Csounds Ambisonics decoders. In: Di Furia A, Petrolat A (ed.). Proceedings The Fifth International Csound Conference (ICSC2019). 1 ed. Cagly: 2019. p. 1-6.

Beardsley M, Hernández Leo D, Ramírez R. Seeking reproducibility: assessing a multimodal study of the testing effect. Journal of Computer Assisted Learning 2018; 34(4): 378-386.

Bozkurt B, Germanakis I, Stylianouc Y. A study of time-frequency features for CNN-based automatic heart sound classification for pathology detection. Computers in Biology and Medicine 2018; 100( ): 132-143.