machine learning

A new practical book on machine learning

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.

New paper on multimodal emotion prediction models from video and audio

Just published a new article with my PhD student Thao Ha Thi Phuong and Prof. Gemma Roig on 'Multimodal Deep Models for Predicting Affective Responses Evoked by Movies'. The paper will be published in the proceedings of the 2nd International Workshop on Computer Vision for Physiological Measurement as part of ICCV; and will be presented by Thao in Seoul, South Korea. Anybody interested can download the preprint article here (link coming soon!). The source code of our model is available on github.

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.

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
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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.