Biblio

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2017
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.
Bogdanov, D., Porter A., Urbano J., & Schreiber H. (2017).  The MediaEval 2017 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources. MediaEval 2017 Workshop. Abstract
Blaauw, M., & Bonada J. (2017).  A Neural Parametric Singing Synthesizer Modeling Timbre and Expression from Natural Songs. Applied Sciences. 7(12),  Abstract
Oramas, S. (2017).  Knowledge Extraction and Representation Learning for Music Recommendation and Classification. Department of Information and Communication Technologies. 203. Abstract
Nistal, J., Herrera P., & Jordà S. (2017).  Exploring the spontaneous expression of human finger-tapping. 2nd Conference on Computer Simulation of Musical Creativity. Abstract
Srinivasamurthy, A., Holzapfel A., Ganguli K. K., & Serra X. (2017).  Aspects of tempo and rhythmic elaboration in Hindustani music: A corpus study. Frontiers in Digital Humanities: Digital Musicology. 4, 20. Abstract
Cuesta, H., & Gómez E. (2017).  Automatic Pitch Estimation in Choir Singing Recordings using Deep Learning Strategies.
Roma, G., Herrera P., & Nogueira W. (2017).  Environmental sound recognition using short-time feature aggregation. Journal of Intelligent Information Systems. 1-19.
Nuanáin, C. Ó., Herrera P., & Jordà S. (2017).  Rhythmic Concatenative Synthesis for Electronic Music: Techniques, Implementation, and Evaluation. Computer Music Journal. 41(2), 21-37.
Martel, H., & Miron M. (2017).  Data augmentation for deep learning source separation of HipHop songs. 10th International Workshop on Machine Learning and Music. Abstract
Blanco, A. D., & Ramirez R. (2017).  Neural correlates of bow learning technique. Proceedings of the 10th International Workshop on Machine Learning and Music. 1-6. Abstract
Slizovskaia, O., Gómez E., & Haro G. G. (2017).  Musical Instrument Recognition in User-generated Videos using a Multimodal Convolutional Neural Network Architecture. ACM International Conference on Multimedia Retrieval. Abstract
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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
Pons, J., & Serra X. (2017).  Designing Efficient Architectures for Modeling Temporal Features with Convolutional Neural Networks. 42th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017) . Abstract
Chandna, P., Miron M., Janer J., & Gómez E. (2017).  Monoaural Audio Source Separation Using Deep Convolutional Neural Networks. 13th International Conference on Latent Variable Analysis and Signal Separation (LVA ICA2017).
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Rauschenberger, M., Rello L., Baeza-Yates R., Gomez E., & Bigham J. P. (2017).  Towards the Prediction of Dyslexia by a Web-based Game with Musical Elements. The 14th International Web for All Conference . 4-7. Abstract
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Ganguli, K. K., Lele A., Pinjani S., Rao P., Srinivasamurthy A., & Gulati S. (2017).  Melodic Shape Stylization for Robust and Efficient Motif Detection in Hindustani Vocal Music. National Conference for Communications. Abstract
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Liem, C., Gómez E., & Tzanetakis G. (2017).  Multimedia Technologies for Enriched Music Performance, Production and Consumption. IEEE Mutlimedia Magazine . 24(01), 20-23. Abstract
Ruiz, G. (2017).  Analysis of the skills acquisition process in musical improvisation: an approach based on creativity. Abstract
Balcells Eichenberger, D. (2017).  Ariadne: User-Centered Music Discovery in a Labyrinth of Semantic Threads. Abstract
Bhardwaj, S. (2017).  Audio Data Augmentation with respect to Musical Instrument Recognition. Abstract
Sharma, K. (2017).  Automatic analysis of time varying metrical structures in music. Abstract
Nápoles López, N. (2017).  Automatic harmonic analysis of classical string quartets from symbolic score. Abstract
Meléndez-Catalán, B., Molina E., & Gómez E. (2017).  BAT: An open-source, web-based audio events annotation tool. Web Audio Conference. Abstract
Erruz, G. (2017).  Binaural Source Separation with Convolutional Neural Networks. Abstract
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