Biblio

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2019
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
Blaauw, M., Bonada J., & Daido R. (2019).  Data Efficient Voice Cloning for Neural Singing Synthesis. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing.
Chandna, P., Blaauw M., Bonada J., & Gomez E. (2019).  A Vocoder Based Method For Singing Voice Extraction. 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019). Abstract
2018
Caro Repetto, R., Pretto N., Chaachoo A., Bozkurt B., & Serra X. (2018).  An open corpus for the computational research of Arab-Andalusian music. 5th International Conference on Digital Libraries for Musicology (DLfM 2018). 78-86. Abstract
Gomez, E., Blaauw M., Bonada J., Chandna P., & Cuesta H. (2018).  Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners. Keynote speech, 2018 Joint Workshop on Machine Learning for Music. The Federated Artificial Intelligence Meeting (FAIM), a joint workshop program of ICML, IJCAI/ECAI, and AAMAS.
Oramas, S., Barbieri F., Nieto O., & Serra X. (2018).  Multimodal Deep Learning for Music Genre Classification. Transactions of the International Society for Music Information Retrieval. 1(1), 4-21. Abstract
2017
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