I'm honored to be invited as a Distinguished Speaker at the Clariden Global Conference this week on 'Applying AI and Deep Learning for Enterprises'. On 15 May, I will be speaking in the track on 'How Deep Learning and Machine Learning is Transforming Different Vertical Industries', presenting "The use and implications of AI for creative fields such as music".
Dorien Herremans has published an article in the popular online resource 'Towards Data Science' entitled "Representing music with Word2vec?" about our recent paper in the journal Neural Computing and Applications: Chuan, Agres, & Herremans (2018) "From context to concept: exploring semantic relationships in music with word2vec."
Her article is available here.
A new book entitled 'Music and Consciousness 2' is out from Oxford University Press, and with it, our chapter on "The impact of musical structure on enjoyment and absorptive listenings states in trance music." This chapter examines how certain features of the musical structure of trance music may afford shifts of consciousness in listeners.
The book is available here.
Our paper testing a novel music-based Brain Computer Interface (BCI) for emotion regulation in listeners was published in PLoS ONE yesterday. The paper is freely available online here.
Title: A closed-loop, music-based brain-computer interface for emotion mediation
Next week is the culmination of almost a year of planning and organizing: our Lorentz workshop on 'Music, Computing, and Health' will take place in Leiden, the Netherlands, from 4-8 March! (Organizers: Kat Agres, Rebecca Schaefer, Anja Volk, and Susan van Hooren)
We will focus on ideation and future creation of music technologies for healthcare and well-being, drawing from music cognition, computing, music information retrieval (MIR), music therapy, and medical technology. I'm very excited to see what this diverse group discusses and produces. :)
A collaboration with Prof Ching-Hua Chuan from the U of Miami and Prof. Dorien Herremans from SUTD has just been accepted for publication in Springer's Neural Computing and Applications (impact factor = 4.213). The manuscript is entitled 'From Context to Concept: Exploring Semantic Relationships in Music with Word2Vec', and describes how a popular NLP model called word2vec can be used to capture meaningful musical structure in complex polyphonic pieces of music. A copy of the preprint is available on my Publications page.
I'm excited to be speaking at IEEE ICOT's special session on 'Music and Music Technology for Health and Learning' next month! I will be presenting a paper describing my lab's new music and motion detection game for rehabilitation and strengthening in the elderly. More info here.
'Information-Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory'
Very excited to see this in print! A link to the paper may be found here. (Click on header to read more...)