Biblio

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Book Chapter
Conference Paper
Laurier, C., Lartillot O., Eerola T., & Toiviainen P. (2009).  Exploring Relationships between Audio Features and Emotion in Music. ESCOM, Conference of European Society for the Cognitive Sciences of Music. Abstract
Akkermans, V., Font F., Funollet J., De Jong, B, Roma G., Togias S., et al. (2011).  Freesound 2: An Improved Platform for Sharing Audio Clips. International Society for Music Information Retrieval Conference (ISMIR 2011), Late-breaking Demo Session. Abstract
Sarasúa, Á., Caramiaux B., & Tanaka A. (2016).  Machine Learning of Personal Gesture Variation in Music Conducting. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 3428–3432.
Bogdanov, D., Won M., Tovstogan P., Porter A., & Serra X. (2019).  The MTG-Jamendo Dataset for Automatic Music Tagging. Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019). Abstract
Fernández-Macías, E., Gomez E., Hernández-Orallo J., Loe B. - S., Martens B., Martínez-Plumed F., et al. (2018).  A multidisciplinary task-based perspective for evaluating the impact of AI autonomy and generality on the future of work. Workshop on architectures and evaluation for generality, autonomy and progress in AI, IJCAI-ECAI 2018, AAMAS 2018 AND ICML 2018.
Tian, M., Srinivasamurthy A., Sandler M., & Serra X. (2014).  A Study of Instrument-wise Onset Detection in Beijing Opera Percussion Ensembles. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 2159-2163. Abstract
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