Liu R., Roy A., Herremans D..  2026.  Leveraging LLM Embeddings for Cross Dataset Label Alignment and Zero Shot Music Emotion Prediction. Conference on AI Music Creativity (AIMC).

• Google Scholar
• BibTeX

Melechovsky J., Mehrish A., Herremans D., Sisman B..  2023.  Learning accent representation with multi-level VAE towards controllable speech synthesis. IEEE Spoken Language Technology (SLT) Workshop.

• Google Scholar
• BibTeX

Cheuk K.W., BT B, Roig G., Herremans D..  2019.  Latent space representation for multi-target speaker detection and identification with a sparse dataset using Triplet neural networks. IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2019).

• Google Scholar
• BibTeX

1910.01463.pdf (934.76 KB)

Luo Y.J., Agres K., Herremans D..  2019.  Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders. ISMIR.

• Google Scholar
• BibTeX

jyun-ismir.pdf (5.62 MB)

Herremans D., Martens D, Sörensen K..  2014.  Looking into the minds of Bach, Haydn and Beethoven: Classification and generation of composer-specific music.

• Google Scholar
• BibTeX

RPS-2014-001.pdf (575.42 KB)