We have one industry-funded PhD position to join C4DM and the UKRI CDT in AI and Music in September 2024, on the topic of Smart EQ: Personalizing Audio with Context-aware AI using Listener Preferences and Psychological Factors supervised by Dr Charalampos Saitis and Dr George Fazekas in collaboration with Yamaha.
Apply here before 26th August.
Interested candidates should reach out to the supervisors by email: c.saitis@qmul.ac.uk and george.fazekas@qmul.ac.uk.
Melodies of popular songs have become simpler since the 1950s, according to a study carried out by AIM PhD student Madeline Hamilton and C4DM academic Dr Marcus Pearce, published in the journal Scientific Reports. The full paper can be found at: https://www.nature.com/articles/s41598-024-64571-x
An analysis of hundreds of chart hits from the past 70 years has shown “a significant decline” in the complexity of rhythm and pitch in song melodies. They said the biggest transitions – or “bursts of change” – occurred in the years 1975 and 2000 – when music genres such as new wave, disco and stadium rock started gaining popularity in the mid-1970s, and hip-hop became more prominent in the early Noughties. The researchers said the findings suggest complexity and creative expression in popular music is shifting away from melody and towards other elements such as quality of the sound.
See the full newsitem published in the Independent: https://www.independent.co.uk/arts-entertainment/music/news/top-song-melodies-simpler-study-b2574633.html
On 1-2 July 2024, AIM PhD student Jiawen Huang will participate at the UK and Ireland Speech Workshop (UKIS 2024). The UK and Ireland Speech Workshop aims to bring together researchers within the UK and Ireland’s Speech Science and Speech Technology community, both in academia and industry. UKIS 2024 is organised by the Speech Research Group, Department of Engineering, University of Cambridge in collaboration with the UK Speech Community. The below work will be presented at UKIS 2024:
See you all at UKIS!