Biblio
Filters: Author is Miron, M. [Clear All Filters]
Source Separation Methods for Orchestral Music: Timbre-Informed and Score-Informed Strategies.
Department of Information and Communication Technologies. 299. Abstract
(2018).
Overcoming catastrophic forgetting with hard attention to the task.
The 35th International Conference on Machine Learning (ICML 2018) . Abstract
(2018).
Monoaural Audio Source Separation Using Deep Convolutional Neural Networks.
13th International Conference on Latent Variable Analysis and Signal Separation (LVA ICA2017).
(2017).
Monaural score-informed source separation for classical music using convolutional neural networks.
18th International Society for Music Information Retrieval Conference.
(2017).
Immersive Orchestras: audio processing for orchestral music VR content.
VSGAMES 2016 - 8th International Conference on Virtual Worlds and Games for Serious Applications. Abstract
(2016).
Generating data to train convolutional neural networks for classical music source separation.
Proceedings of the 14th Sound and Music Computing Conference. 227-233.
(2017).
Data augmentation for deep learning source separation of HipHop songs.
10th International Workshop on Machine Learning and Music. Abstract
(2017).
Convolutional neural networks for audio processing: starting pack.
Pydata Barcelona.
(2017).