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Disentangling the Latent Space of (Variational) Autoencoders for NLP
(2018)Advances in Intelligent Systems and Computing ~ Proceedings of the 18th UK Workshop on Computational Intelligence 2018Conference Paper -
MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer
(2018)Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR 2018)We introduce MIDI-VAE, a neural network model basedon Variational Autoencoders that is capable of handlingpolyphonic music with multiple instrument tracks, as wellas modeling the dynamics of music by incorporating notedurations and velocities. We show that MIDI-VAE can per-form style transfer on symbolic music by automaticallychanging pitches, dynamics and instruments of a musicpiece from, e.g., a Classical to a ...Conference Paper -
Natural Language Multitasking - Analyzing and Improving Syntactic Saliency of Hidden Representations
(2018)arXivConference Paper -
Symbolic Music Genre Transfer with CycleGAN
(2018)2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI)Conference Paper -
JamBot: Music Theory Aware Chord Based Generation of Polyphonic Music with LSTMs
(2017)2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI)Conference Paper