Note: This bibliographic page is archived and will no longer be updated. For an up-to-date list of publications from the Music Technology Group see the Publications list .

Biblio

Filters: Author is Miron, M.

2018

Miron, M. (2018). Source Separation Methods for Orchestral Music: Timbre-Informed and Score-Informed Strategies . Department of Information and Communication Technologies. 299. Abstract

Serrà, J. , Suris D. , Miron M. , & Karatzoglou A. (2018). Overcoming catastrophic forgetting with hard attention to the task . The 35th International Conference on Machine Learning (ICML 2018) . Abstract

2017

Miron, M. , Janer J. , & Gómez E. (2017). Monaural score-informed source separation for classical music using convolutional neural networks . 18th International Society for Music Information Retrieval Conference.

Miron, M. , Janer J. , & Gómez E. (2017). Generating data to train convolutional neural networks for classical music source separation . Proceedings of the 14th Sound and Music Computing Conference. 227-233.

Martel, H. , & Miron M. (2017). Data augmentation for deep learning source separation of HipHop songs . 10th International Workshop on Machine Learning and Music. 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).

Miron, M. , & Slizovskaia O. (2017). Convolutional neural networks for audio processing: starting pack . Pydata Barcelona.

2016

Janer, J. , Gómez E. , Martorell A. , Miron M. , & de Wit B. (2016). Immersive Orchestras: audio processing for orchestral music VR content . VSGAMES 2016 - 8th International Conference on Virtual Worlds and Games for Serious Applications. Abstract