Highlights/Upcoming events

Postdoc & Eng. job opening in affective computing for video/music. MIT-SUTD IDC center Singapore

I am excited to announce the following job openings for a new SUTD-MIT Project on emotion recognition in video and audio, start date is as soon as possible.

We are seeking a postdoctoral fellow and a research engineer to work on an affective computing research project related to emotion recognition for videos and music. The PIs of the project include Prof. Gemma Roig, Prof. Dorien Herremans, and Dr. Kat Agres. The position is for one year extendable to 2 years.


Upcoming talk at the Women in Data Science (WiDS) event

I am excited to give a talk at the upcoming Data Science Women in Data Science (WiDS) 2018 event taking place on 11 April 2018 at Singapore University of Technology & Design (SUTD). This is part of the growing global WiDS community and conference series, taking place in 150+ locations around the world coinciding with the WiDS Stanford on 5 March 2018. #sheinnovates

Guest lecture at NUS on music modelling

Today, prof. Wang Ye, general chair of this year's ISMIR, was nice enough to invite me to teach a guest lecture in his Sound and Music Computing class at NUS. The class was introduced by a lecture of Prof. Lonce Wyse, who talked about sound modelling with machine learning. In my talk, we focused on music modelling from a generative perspective. For those interested, you can download my slides here.

How convolution works - Certified NVIDIA Deep Learning Insititute Ambassador Instructor

I'm happy to announce that I just got certified as an official NVIDIA Deep Learning Institute instructor and ambassador.
"The NVIDIA Deep Learning Institute (DLI) offers hands-on training for developers, data scientists, and researchers looking to solve the world’s most challenging problems with deep learning.

New article on the MoprheuS music generation system in IEEE Transactions of Affective Computng

I'm please to announce the latest article I wrote together with Prof. Elaine Chew on MorpheuS, published in IEEE Transactions on Affective Computing. The paper explains the inner workings of MorpheuS, a music generation system that is able to generate pieces with a fixed pattern structure and given tension.

Herremans D., Chew E.. 2017. MorpheuS: generating structured music with constrained patterns and tension. IEEE Transactions on Affective Computing. PP (In Press)(99)

New Survey article on music generation in ACM Computing Surveys

A new journal article was published that I wrote together with Prof. Ching-Hua Chuan and Prof. Elaine Chew. The article is a survey on current music generation systems from a functional point of view, thus creating a nice overview of current challenges and opportunities in the field. The articles covers systems ranging from game music, to real-time improvisation systems and emotional movie music generation systems.

ISMIR in Suzhou, China - presenting hit prediction through social media listening behaviours

Last week the National University of Singapore hosted the International Society for Music Information Retrieval conference in lovely Suzhou, China. It featured a ton of interesting presentations by established academics in the field including Prof. Elaine Chew (who also talked about MorpheuS), Roger Dannenberg and others; but also industry leaders such as Jeffrey C. Smith (Smule) and E. Humprey (Spotify).

PhD position available for Machine Learning/optimization in novel topics such as music

Update: while this particular grant has expired, there are some other opportunities available in my lab.

I am looking for a strong PhD candidate in music and machine learning at Singapore University of Technology and Design (SUTD). SUTD is a relatively new university, founded in collaboration with MIT, that has a strong interdisciplinary focus on design. The available PhD position is at the department of Information Systems Technology and Design (ISTD).

Started at the Singapore University of Technology and Design

Last week, I started as an Assistant Professor at the Information Systems and Technology pillar at Singapore University of Technology and Design (SUTD), co-founded by MIT.

"The Singapore University of Technology and Design (SUTD) is the fourth autonomous university to be established in Singapore. SUTD's mission is to advance knowledge and nurture technically grounded leaders and innovators to serve societal needs...

Elevated to the grade of Senior Member of the IEEE

I am pleased to announce that I have been elevated to the rank of Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). Only 8 percent of IEEE members have attained the level of senior member. Senior Membership is an honor bestowed only to those who have made significant contributions to the profession. They are recognised for their technical and professional excellence, achievements, publications and course development or technical direction in IEEE-designated fields. I am particularly active in the IEEE Computational Intelligence Society.


Call for Papers: Special Issue on Deep Learning for Music and Audio in Springer’s Neural Computing and Applications

Special Issue on Deep Learning for Music and Audio
in Springer's Neural Computing and Applications (Impact factor: 2.50)

Submission deadline: December 17th

Description and covered topics

Talk on music generation at Jukedeck, London

Today I gave a Lunch & Learn Seminar at Jukedeck in London. Jukedeck is a London-based tech startup that is using artificial intelligence to revolutionise the way people and companies make and consume music. In my talk I talked about the MorpheuS system and some deep learning models for modeling music that I have recently developed in collaboration with Prof. C.H Chuan.

First workshop on deep learning and music in Anchorage (Proceedings available online)

This week (May 18-19th), I co-organized the workshop on deep learning for music with Prof. Ching-Hua Chuan in Anchorage, Alaska. The workshop was part of the International Joint Conference on Neural Networks (IJCNN) and featured invited speakers from Google Brain, A*STAR and Pandora.

Over 50 people participated in the workshop and there were some really interesting discussions on this exciting new field. The full Proceedings can be found online, and include:

Seminar at Singapore University of Technology and Design

This week I am giving a seminar at Singapore University of Technology and Design about some of my latest research, entitled: 'Machine Learning and Optimization for Cutting Edge Applications in Digital Music'.
27 April 2017 @ 10:30 am - 11:30 am
SUTD Think Tank 20 (Building 2, Level 3)
8 Somapah Road, Singapore 487372
Category: Seminar Series ISTD


An online system for visualising audio-and score based features

A few weeks ago, Prof. Ching-Hua Chuan (University of North Florida) presented a system that we have developed together called IMMA at the IEEE International Conference on Semantic Computing in San Diego. IMMA is a multi-modal interface that shows both audio and score-based features of a performance and score in sync. The current version implements a module for tension, different modules are expected to be implemented soon. Check out a demo or read more.

Workshop on Deep Learning and Music

International Workshop on Deep Learning for Music
In conjunction with the 2017 International Joint Conference on Neural Networks
(IJCNN 2017))

14-19 May (1 day), Anchorage
Read more

There has been tremendous interest in deep learning across many fields of study. Recently, these techniques have gained popularity in the field of music. Projects such as Magenta (Google's Brain Team's music generation project), Jukedeck and others testify to their potential.

Research visit to Singapore at A*STAR and IEEE TENCON

Last week I was in Singapore to present the MorpheuS research I have performed on my Marie-Curie grant at IEEE TENCON. The title of my talk was "MorpheuS: Automatic music generation with recurrent pattern constraints and tension profiles". I was also invited to give a seminar on "Machine learning and optimization applied to digital music" at the High Performance Computing Institute at A*STAR in Singapore. A short abstract of the talk at A*STAR: