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Blaauw, M., Bonada J., & Daido R. (In Press).  Data Efficient Voice Cloning for Neural Singing Synthesis. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing.
Serra, X. (2012).  Data Gathering for a Culture Specific Approach in MIR. 21st International World Wide Web Conference (WWW 2012): 4th International Workshop on Advances in Music Information Research (AdMIRe 2012). 867-868. Abstract
Ganguli, K. K., Gulati S., Rao P., & Serra X. (2016).  Data-driven Exploration of Melodic Structures in Hindustani Music. 17th International Society for Music Information Retrieval Conference (ISMIR 2016). 605-611. 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., Nieto O., Sordo M., & Serra X. (2017).  A Deep Multimodal Approach for Cold-start Music Recommendation. 2nd Workshop on Deep Learning for Recommender Systems, at RecSys 2017. Abstract
Musevic, S., & Bonada J. (2013).  Derivative Analysis of Complex Polynomial Amplitude, Complex Exponential with Exponential Damping. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 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