Biblio

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2019
Gómez Cañón, J. S., Herrera P., Gómez E., & Cano E. (2019).  The emotions that we perceive in music: the influence of language and lyrics comprehension on agreement. Workshop-Symposium on Research Methods in Music and Emotion. Abstract
Slizovskaia, O., Kim L., Haro G., & Gómez E. (2019).  End-to-End Sound Source Separation Conditioned On Instrument Labels. 2019 International Conference on Acoustics, Speech, and Signal Processing. Abstract
Blanco, A. D., & Ramirez R. (2019).  Evaluation of a Sound Quality Visual Feedback System for Bow Learning Technique in Violin Beginners: An EEG Study. Frontiers in Psychology. 10(Performance Science),  Abstract
2018
Pons, J., Nieto O., Prockup M., Schmidt E. M., Ehmann A. F., & Serra X. (2018).  End-to-end learning for music audio tagging at scale. 19th International Society for Music Information Retrieval Conference (ISMIR2018). Abstract
Bajpai, V. (2018).  Evaluation of state of the art for genre classification in large datasets. Abstract
Rossi, A. (2018).  Event Recognition of Domestic Sounds using Semi-Supervised Learning. Abstract
Tovstogan, P. (2018).  Exploring music similarity with AcousticBrainz. Abstract
Disley, M. (2018).  Exploring Objectivity in the Aesthetic Experience of Audio Quality. Abstract
2017
Maestre, E., Papiotis P., Marchini M., Llimona Q., Mayor O., Pérez A., et al. (2017).  Enriched Multimodal Representations of Music Performances: Online Access and Visualization. IEEE MultiMedia. 24(1), 24-34. Abstract
Espinosa-Anke, L., Oramas S., Saggion H., & Serra X. (2017).  ELMDist: A vector space model with words and MusicBrainz entities. Workshop on Semantic Deep Learning (SemDeep), collocated with ESWC 2017. Abstract
Blanco, A. D., & Ramirez R. (2017).  Evaluation of audio-based feedback technologies for bow learning technique in violin beginners.. Proceedings of the 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education.. 41-43.
Nistal, J., Herrera P., & Jordà S. (2017).  Exploring the spontaneous expression of human finger-tapping. 2nd Conference on Computer Simulation of Musical Creativity. Abstract
Roma, G., Herrera P., & Nogueira W. (2017).  Environmental sound recognition using short-time feature aggregation. Journal of Intelligent Information Systems. 1-19.
Nuñez, V., & Herrera P. (2017).  Effects of voice, instrumentation and production on the recognition of emotions communicated by pop-rock songs . I Congreso Internacional de Psicología de la Música y la Interpretación Musical. Abstract
2016
Oramas, S., Espinosa-Anke L., Sordo M., Saggion H., & Serra X. (2016).  ELMD: An Automatically Generated Entity Linking Gold Standard Dataset in the Music Domain. Language Resources and Evaluation Conference (LREC 2016). 3312-3317. Abstract
Pons, J., Lidy T., & Serra X. (2016).  Experimenting with Musically Motivated Convolutional Neural Networks. 14th International Workshop on Content-based Multimedia Indexing (CBMI 2016). Abstract
Bonada, J., Umbert M., & Blaauw M. (2016).  Expressive Singing Synthesis Based on Unit Selection for the Singing Synthesis Challenge 2016. Interspeech. Abstract
application/pdf iconinterspeech-singing-challenge.pdf
Turquois, C., Hermant M., Gómez-Marín D., & Jordà S. (2016).  Exploring the Benefits of 2D V isualizations for Drum Samples Retrieval. ACM on Conference on Human Information Interaction and Retrieval 2016. 329-332. Abstract
application/pdf iconFull paper
Oramas, S., Espinosa-Anke L., Lawlor A., Serra X., & Saggion H. (2016).  Exploring Customer Reviews for Music Genre Classification and Evolutionary Studies. 17th International Society for Music Information Retrieval Conference (ISMIR 2016). 150-156. Abstract
Bosch, J., Marxer R., & Gómez E. (2016).  Evaluation and Combination of Pitch Estimation Methods for Melody Extraction in Symphonic Classical Music. Journal of New Music Research . 45(2), 101-117.
application/pdf iconJNMR_Bosch_melody_symphonic_postprint.pdf
Umbert, M. (2016).  Expression Control of Singing Voice Synthesis: Modeling Pitch and Dynamics with Unit Selection and Statistical Approaches. (Bonada, J., Xavier Serra, Ed.).Department of Information and Communication Technologies. 177. Abstract
Nuanáin, C. Ó., Herrera P., & Jordà S. (2016).  An Evaluation Framework and Case Study for Rhythmic Concatenative Synthesis. 17th International Society for Music Information Retrieval Conference (ISMIR 2016). 67-72. Abstract
Zurita, V. (2016).  Exploring structural sections in EDM DJ-created radio mixes with the help of automatic music descriptors. Abstract
application/pdf iconVincent-Zurita-Master-thesis-2016.pdf
Vamvakousis, Z., & Ramirez R. (2016).  The EyeHarp: A Gaze-Controlled Digital Musical Instrument. Frontiers in Psychology . 7,
2015
Gorlow, S., & Janer J. (2015).  Evaluation of the Convolutional NMF for Supervised Polyphonic Music Transcription and Note Isolation. LVA/ICA 2015.
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