15 citations · 19 across the 3 of their papers we have counts for
3 papers
Low-dimensional Embodied Semantics for Music and Language
Francisco Afonso Raposo, David Martins de Matos, Ricardo Ribeiro
Embodied cognition states that semantics is encoded in the brain as firing patterns of neural circuits, which are learned according to the statistical structure of human multimodal…
Towards Deep Modeling of Music Semantics using EEG Regularizers
Francisco Raposo, David Martins de Matos, Ricardo Ribeiro +2
Modeling of music audio semantics has been previously tackled through learning of mappings from audio data to high-level tags or latent unsupervised spaces. The resulting semantic…
Deep Cross-Modal Correlation Learning for Audio and Lyrics in Music Retrieval
Yi Yu, Suhua Tang, Francisco Raposo +1
Little research focuses on cross-modal correlation learning where temporal structures of different data modalities such as audio and lyrics are taken into account. Stemming from th…