One of the most comprehensible machine learning instructors (Andrew Ng), has just released a new book. I found it an interesting and smooth read with focus on a few important issues that any data science / AI person will encounter. Highly recommend the read. More info on the book and how to get it.

Today I gave a talk at the IEEE Conference on Games at Queen Mary University of London. The prototype game was developed as part of a UROP project led by Prof. Kat Agres (NUS), Prof. Simon Lui (Tencent), and myself (SUTD). Credits to the bulk of the development goes to Xuexuan Zhou!

The full game is described in our proceedings paper and the slides are available here:

Ever wondered if popular techniques from NLP can be ported to music? In the below article on Towards Data Science, I elaborate on my recent paper in Neural Computing and Applications with Prof. Ching-Hua Chuan and Prof. Kat agres on using word2vec for polyphonic music. What do you think? Leave your comments below on Medium!

Prof. Ching-Hua Chuan and I recently edited a Special Issue for Springer's Neural Computing and Applications (IF: 4.213). The idea for the issue came out of the 1st International Workshop on Deep Learning for Music that we organized in Anchorage, US, as part of IJCNN in 2017. We received a nice collection of very interesting articles from scholars all over the world. The issue is set to come out soon (stay tuned).

Having done my postdoc and PhD on music generation (see MorpheuS project), I am happy to announce that I am the PI of a new MOE Tier 2 grant on 'aiMuVi: AI Music generated from Videos' with SGD 648,216 in funding. My co-PIs on this project are Prof. Gemma Roig from SUTD, Prof. Eran Gozy from MIT (creator of Guitar Hero), and collaborator Prof. Kat Agres from A*STAR/NUS.

Abstract of the proposal:

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.

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.

My colleague, Dr. Kat Agres from the Institute of High Performance Computing, A*STAR explains all about music and how it can make us feel scared... Link to video.

My research was featured in a documentary called 'Algorithms' by Channel News Asia. MorpheuS is a music generation algorithm developed by Prof. Elaine Chew and myself at Queen Mary University of London. In the documentary, a string quartet consisting of musicians from the Singapore Symphony Orchestra perform a piece composed by MorpheuS (at around 17min in), followed by an interview about my research (21min in).


Episode 1: Rage Against The Machine