Read my PhD student Yanzhao Zou and myself's latest paper on A Multimodal Model with Twitter Finbert Embeddings for Extreme Price Movement Prediction of Bitcoin.

Read the full NRF magazine here. Our original paper is available here.

Excited to be featured on the latest 'AI and You - What is AI? How will it affect your life, your work, and your world?' podcast by Peter Scott from Human Cusp.

We're focusing on AI in music: What's the state of the art in AI music composition, how can human composers use it to their advantage, and what is the AI Song Contest? How do musical AIs surprise their creators and how are they like your grandmother trying to explain death metal?

Congrats to Kin Wa Cheuk for his published paper in the ACM Multimedia conference (A*) on 'ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data'. If you are interested in training low-data music transcription models with semi-supervised learning, check out the full paper here, or access the preprint.

Watch Raven's talk here:

Over the last few years, we developed Project PEAR at SUTD Game Lab. Project PEAR is a geolocation based augmented reality game that is aimed at educating the player on climate change as well as influence their behaviours. We just published a study in Sustainability on the effectiveness of this game.

Our team at Singapore University of Technology and Design (SUTD) is looking for an RA or postdoc in music and AI. You will be joining our AMAAI Lab in music/audio/vision AI supervised by Prof. Dorien Herremans. At our lab, we aim to advance the state-of-the-art in AI for music and audio. More information on the music/audio team here. We have multiple research lines going that need your expertise, either in symbolic music (midi) as well as audio.

I'm quite excited to announce the book chapter I wrote with Emeritus Prof. P. Kroonenberg from the University of Leiden. Prof. Kroonenberg just published an amazingly meticulous and interesting book on Multivariate Humanities, and I was happy to collaborate with him on the chapter "Musical stylometry: Characterisation of music" (pp. 347-370).

I recently had the pleasure to be featured in a Meet My Lab on "Mathematics & Music - A Synergetic Duo for Automatic Music Generation", together with Prof. Elaine Chew. These sessions are organized by Euraxess, European Commission. [scroll down for video]

I'm very happy to announce that our lab had three papers accepted at the International Joint Conference on Neural Networks (IJCNN) on the topics of controllable music generation with emotion and structure, as well as audio transcription. More info on these three projects below:

Makris D., Agres K., Herremans D.. 2021. Sen2Seq: A Conditional seq2seq Framework for Generating Lead Sheets with Sentiment. Proceedings of the International Joint Conference on Neural Networks (IJCNN). Download preprint.