News

ISMIR 2024 paper awards for AIM students

The 25th International Society for Music Information Retrieval Conference (ISMIR 2024) has just taken place, and we are pleased to announce that the following works authored by AIM students (highlighted in bold) received best paper awards at the conference:Logo of ISMIR 2024 conference at San Franscisco

Congratulations to all! You can explore AIM’s contributions for ISMIR 2024 at: https://www.aim.qmul.ac.uk/aim-at-ismir-2024/


Melodious or distorted? How music reinforces gender stereotypes in kids’ toys commercials

Kids' toys on shelfThe music in toy commercials might be shaping how children see themselves and the world! A new study, published in PLOS ONE, from Queen Mary University of London reveals that sound in toy ads isn’t just background noise — it’s actively reinforcing gender stereotypes.

AIM PhD student Luca Marinelli, supervised by Dr Charalampos Saitis (C4DMCOMMA) and in collaboration with Prof Petra Lucht (Center for Interdisciplinary Women’s and Gender Studies at TU Berlin) found that ads targeting boys often feature intense, abrasive sounds, while those for girls use softer, harmonious music. These choices subtly reinforce ideas of “masculine” and “feminine” play from an early age.

Read more about the research and see the data firsthand:
https://www.qmul.ac.uk/media/news/2024/se/new-study-sheds-light-on-the-role-of-sound-and-music-in-gendered-toy-marketing.html

(image source and license details)


AIM Industry Showcase Event

On Tuesday 29th October, we held an AI and Music Centre for Doctoral Training (AIM CDT) showcase event for our industry partners and collaborators featuring some of the research AIM CDT students do. We introduced the AIM CDT and outlined potential collaboration opportunities, including with C4DM academics and their research interests. We also discussed research ideas, including potential PhD topic and internship proposals.

Several AIM students presented their work:

Further information about the AIM CDT can be found here: UKRI Centre for Doctoral Training in Artificial Intelligence and Music. More information about C4DM researchers is available here: c4dm.eecs.qmul.ac.uk/people. You can get in touch with us for further information, including for requesting a recording of this event.