Highlights/Upcoming events
Our cough models featured in NRF magazine
Posted by dorien on Thursday, 2 June 2022Read the full NRF magazine here. Our original paper is available here.
Seminar on music and AI at KTH
Posted by dorien on Thursday, 31 March 2022It was an honour today to be part of the seminar at the KTH Royal Institute of Technology in Stockholm as part of the dialogues series.
dialogues1: probing the future of creative technology
Subject: “Interaction with generative music frameworks”
Guests: Dorien Herremans and Kıvanç Tatar (Video link to be posted)
Dorien Herremans: Controllable deep music generation with emotion
AI and you - podcast
Posted by dorien on Monday, 7 March 2022Excited 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?
Panel discussion at Ars Electronica - watch video here
Posted by dorien on Monday, 7 March 2022Last year I was honoured to be part of the panel discussion on 'Challenging the limits of AI for the next generation of co-creative tools - Frontiers of Music and Artificial Intelligence'. at Ars Electronica, IRCAM (FR). Watch the video below.
ReconVAT presented in ACM Multimedia
Posted by dorien on Monday, 28 February 2022Congrats 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:
Internship opportunity Sounders Music / SUTD
Posted by dorien on Tuesday, 18 January 2022Sounder Music in the Netherlands (https://soundersmusic.com/) has an internship opportunity for a MSc or PhD student in data analytics for music. The internship will be (remotely) co-supervised by myself (Prof. Dorien Herremans, SUTD) and the founder of Sounders Music (Willem Bloem).
Paper published on our game for climate change (PEAR) in Sustainability
Posted by dorien on Thursday, 16 December 2021Over 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.
aiSTROM -- A roadmap for developing a successful AI strategy published in IEEE Access
Posted by dorien on Wednesday, 24 November 2021Leading countless AI projects has left me very aware of all the challenges we may encounter during the development process. Therefore, I created a roadmap for AI managers and consultants to follow when creating an AI strategy, so they can better navigate the road to a successful AI strategy. The aiSTROM roadmap was just published in IEEE AccessRead the full article here.
Research assistant / postdoc jobs in Music/Audio and AI
Posted by dorien on Sunday, 12 September 2021Our 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.
New article in Sensors: Deep Neural Network-Based Respiratory Pathology Classification Using Cough Sounds
Posted by dorien on Thursday, 19 August 2021I'm excited to share our latest paper on cough sound classification in Sensors. Full paper available here.
Book chapter on Musical stylometry: Characterisation of music
Posted by dorien on Tuesday, 6 July 2021I'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).
Joint internship with Sounders Music
Posted by dorien on Monday, 5 July 2021I'm excited to announce this internship opportunity with Sounder Music in the Netherlands. This internship in data analytics for music will be (remotely) co-supervised by myself (Prof. Dorien Herremans) and the founder of Sounders Music (Willem Bloem). Send Willem a message if you are interested with subject [Sounders internship] to willem [period] bloem [aat] noticesound.com. Ideally we can come to a research publication at the end of the project.
Meet My Lab - podcast from Euraxess
Posted by dorien on Wednesday, 2 June 2021New roadmap paper on the role of music technology for health care and well-being
Posted by dorien on Wednesday, 2 June 2021Two years ago, I attended the Lorenz workshop on Music, Health, and Computing in at the University of Leiden. After a long and thorough process, a roadmap paper was published. All of the workshop attendees, who are experts in either music therapy or music technology, put their heads together, to create this important roadmap for the future of this new interdisciplinary field.
Three IJCNN papers from the AMAAI lab this year!
Posted by dorien on Wednesday, 19 May 2021I'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.
Keynote at DMRN on controllable music generation
Posted by dorien on Thursday, 18 March 2021I was excited to give a keynote at DMRN+15. More info on the workshop here. Listen to my keynote below!
Controllable music generation: from MorpheuS to deep networks
New paper on Underwater Acoustic Communication Receiver Using Deep Belief Network
Posted by dorien on Thursday, 4 March 2021Recent PhD graduate Dr. Abigail Lee-Leon, Prof Chau Yuen, and myself just published a paper on 'Underwater Acoustic Communication Receiver Using Deep Belief Network' in IEEE Transactions on Communications. Preprint link. Underwater communications is a challenging field due to the many interferences in the channel (e.g. Doppler effect, boats, fish, etc.). This paper uses a novel deep learning approach to model the receiver.
CM-RNN: Hierarchical RNNs for structured music generation
Posted by dorien on Monday, 22 February 2021Nicolas Guo, Dr. Dimos Markis and myself just published a new paper on Hierarchical Recurrent Neural Networks for Conditional Melody Generation with Long-term Structure. Inspired by methods from the audio domain, such as SampleRNN, we explore how we can generate melodies, conditioned by chords by inputting training data in multiple granularities.
The Effect of Spectrogram Reconstructions on Automatic Music Transcription
Posted by dorien on Monday, 14 December 2020Congrats Kin Wai (Raven), on this interesting paper on leveraging spectrogram reconstruction for music transcription, which was accepted at the International Conference on Pattern Recognition (ICPR2020). Read the preprint here.
Cheuk K.W., Luo Y.J., Benetos E., Herremans D.. 2021. The Effect of Spectrogram Reconstructions on Automatic Music Transcription: An Alternative Approach to Improve Transcription Accuracy. Proceedings of the International Conference on Pattern Recognition (ICPR2020).