News – Page 14 – UKRI Centre for Doctoral Training in Artificial Intelligence and Music

Emmanouil Benetos
22nd September 2022

AIM students to join the Alan Turing Institute in 2022/23

The Alan Turing Institute, the UK’s national institute in artificial intelligence and data science, is project partner of the AIM CDT and two AIM PhD students have been given awards through the Turing’s Enrichment scheme for the 2022/23 academic year.

Specifically, AIM PhD student Berker Banar has been offered a Turing Enrichment Community Award for the project “Towards Composing Contemporary Classical Music using Generative Deep Learning” and AIM PhD student Jiawen Huang has been offered a Turing Enrichment Placement Award for the project “Real-Time Audio-to-Lyrics Alignment for Polyphonic Music”.

Congratulations to both! For the full story on enrichment awards for Queen Mary doctoral students please read the QMUL newsitem.

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Ben Hayes
25th April 2022

AIM at ICASSP 2022

On 7-13 & 22-27 May, a number of AIM researchers will participate at the 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022). ICASSP is the leading conference in the field of signal processing and the flagship event of the IEEE Signal Processing Society. The below papers presented at ICASSP 2022 are authored or co-authored by AIM members:

Direct design of biquad filter cascades with deep learning by sampling random polynomials, by Joseph T. Colonel, Christian J. Steinmetz, Marcus Michelen, Joshua D. Reiss
Improving lyrics alignment through joint pitch detection, by Jiawen Huang, Emmanouil Benetos, Sebastian Ewert
Learning music audio representations via weak language supervision, by Ilaria Manco, Emmanouil Benetos, Elio Quinton, George Fazekas

See you all at ICASSP!

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Lele Liu
6th April 2022

AIM at AI UK 2022

AI UK is the UK’s national showcase of artificial intelligence (AI) and data science research and collaboration hosted by The Alan Turing Institute. The conference happened on 22-23 March this year. At the conference, AIM student Lele Liu presented her research on automatic music transcription at the Turing PhD, enrichment and visiting student poster session.

You can find the poster below.

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