Hao Hao Tan and Jyun Luo will be presenting their work at ISMIR2020 This week!

Tan H.H., Herremans D.. 2020. Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling. Proceedings of the International Society of Music Information Retrieval (ISMIR).. Preprint link.

Congratulations to Raven for publishing 'nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks', in IEEE Access. nnAudio allows you to calculate spectrograms (linear, log, Mel, CQT) on-the-fly as a layer in PyTorch. This makes the spectrograms finetunable to your task! nnAudio is easy to install with pip, see instructions at https://github.com/KinWaiCheuk/nnAudio

Abigail Leon has successfully defended her PhD today with main supervisor Prof. Yuen Chau and myself as co-supervisor. Abigail has successfully explored how deep learning techniques can be used to denoise en demodulate complex underwater acoustic communication signals, and has performed some sea-trials to gather data for this. Since the PhD is under an NDA with Thales, we cannot post it, however, check out some of Abigail's papers here (more to come after the review process ends).

We are looking for a motivated wizard in AI to research and develop AI models for finance/blockchain in PyTorch to join our team at SUTD. Objective is a top publication at the end of the contract. Some key skills required:

Looking for a tool to extract spectrograms on the fly, integrated as a layer in PyTorch? Look no further than nnAudio, a toolbox developed by PhD student Raven (Cheuk Kin Wai): https://github.com/KinWaiCheuk/nnAudio

nnAudio is available in pip (pip install nnaudio), full documentation available on the github page. Also check out our dedicated paper:

SUTD's AMAAI lab is organizing online seminars of (worldwide) graduate students active in Music Information Retrieval (MIR), or more generally music/audio and AI. The aim is to connect different labs working on similar topics and enable international collaboration. Participating universities include SUTD, QMUL,...

The Webinars will be organized on Wednesdays at 4pm Singapore time (9am UK time - 10am EU time).

Interesting is doing MIR research in Singapore? Let me know, EU has released the call for Marie-Curie fellowships. Having been a MSCA fellow myself I can highly recommend these! https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/op...

The special issue on Deep Learning for Music and Audio has been published in Neural Computing and Applications (Impact factor 4.664 (2018)). The guest editors for this special issue were Prof. Ching-Hua Chuan from the University of Miami and myself.

PhD student Yin-Jyun Luo got his paper on 'Singing voice conversion with disentangled representations of singer and vocal technique using variational autoencoders' accepted for the upcoming ICASSP conference in Barcelona Spain. You can read the preprint on Arxiv.