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New paper on Singing Voice Estimation in Neural Computing and Applications (Springer)

Together with Eward Lin, Enyan Koh, Dr. Balamurali BT from SUTD, and Dr. Simon Lui from Tencent Music (former SUTD) we published a paper on using an ideal binary mask with CNN for separating singing voice from its musical accompaniment:

Lin K.W.E., BT B, Koh E., Lui S., Herremans D.. In Press. Singing Voice Separation Using a Deep Convolutional Neural Network Trained by Ideal Binary Mask and Cross Entropy. Neural Computing and Applications. DOI: 10.1007/s00521-018-3933-z.

New publication on modeling music with word2vec in Springer's Neural Computing and Applications

Together with Prof Ching-Hua Chuan from the University of Miami and Prof. Kat Agres from IHPC, A*STAR, I've just published a new article on 'From Context to Concept: Exploring Semantic Relationships in Music with Word2Vec', in Springer's Neural Computing and Applications (impact factor 4.213). The article describes how we can use word2vec to model complex polyphonic pieces of music using the popular embeddings model. The preprint is available here.

New Frontiers in Psychology paper on A Novel Graphical Interface for the Analysis of Music Practice Behaviors

The paper I wrote together with Janis Sokolovskis and Elaine Chew from QMUL, called A Novel Interface for the Graphical Analysis of Music Practice Behaviours was just poublished in Frontiers in Psychology - Human-Media Interaction. Read the full article here or download the pdf.