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Centre for Music and Science

 
Read more at: New paper: Artist identification using rhythm via machine learning

New paper: Artist identification using rhythm via machine learning

1 October 2024

We are excited to share our new paper appearing in the journal Royal Society Open Science, entitled “Rhythmic Qualities of Jazz Improvisation Predict Performer Identity and Style in Source-Separated Audio Recordings”. This was completed by Huw Cheston during his PhD at the CMS, and builds from two earlier publications...


Read more at: New paper: Computational analysis of improvised music at scale

New paper: Computational analysis of improvised music at scale

1 October 2024

Our new paper entitled “Jazz Trio Database: Automated Annotation of Jazz Piano Trio Recordings Processed Using Audio Source Separation” is just published in Transactions of the International Society of Music Information Retrieval (TISMIR). This paper arises from work completed by Huw Cheston during his PhD at the CMS, in...


Read more at: New paper: Coordinating online music performances

New paper: Coordinating online music performances

1 October 2024

Our new paper entitled “Trade-offs in Coordination Strategies for Duet Jazz Performances Subject to Network Delay and Jitter” has just been published in Music Perception. This paper arises from work completed by Huw Cheston during the early stages of his PhD at the CMS, and was funded by an award from Cambridge Digital...


Read more at: New paper: Consonance in the carillon

New paper: Consonance in the carillon

21 August 2024

Our new paper entitled 'Consonance in the carillon' has just been published in the Journal of the Acoustical Society of America. This paper grew out of an undergraduate dissertation by James MacConnachie. Well done James! The paper explores an interesting phenomenon whereby the idiosyncratic frequency spectrum of the...


Read more at: New paper: Greatrex & Hawkins (2024)

New paper: Greatrex & Hawkins (2024)

12 August 2024

Many congratulations to David Greatrex and Sarah Hawkins for their just-published paper, 'Rhythmic variance influences the speed but not the accuracy of complex averaging decisions', published in the journal 'Attention, Perception, & Psychophysics'. This paper stems from David's PhD research at the CMS (2013-2018)...


Read more at: Library exhibition entitled 'Music and Science: Exploring the Scientific Principles Behind Musical Phenomena'

Library exhibition entitled 'Music and Science: Exploring the Scientific Principles Behind Musical Phenomena'

4 July 2024

Harriet Edwards, recent undergraduate music and science student, has curated a library exhibition entitled 'Music and Science: Exploring the Scientific Principles Behind Musical Phenomena'. This exhibition is currently on display at the John's College Library, and has an online version available at this link . Do have a...


Read more at: Call for papers: Tacit Engagement in the Digital Age (TEDA) 2024

Call for papers: Tacit Engagement in the Digital Age (TEDA) 2024

2 July 2024

Tacit Engagement in the Digital Age (TEDA) 2024 continues the discussion from the 2019 conference that was co-hosted by the Centre for Music and Science and CRASSH Re-Network and international Polanyi Society, sponsored by the AI & Society Journal (Springer). The 2024 conference will take place in Cambridge over 2 days...


Read more at: Undergraduate science dissertations receive stellar marks

Undergraduate science dissertations receive stellar marks

1 July 2024

Many congratulations to the four CMS undergraduates who did music and science dissertations this term, and received a stellar set of marks, all high firsts: one 75, two 78s, and one 80! Reuben Bance : Harmonic style classification of jazz pianists in a source-separated piano trio dataset Zaki Lim : Exploring the emotional...


Read more at: Huw Cheston starts internship at Spotify

Huw Cheston starts internship at Spotify

10 June 2024

Good luck to Huw Cheston, current CMS PhD student, who starts an internship with Spotify today! Huw will be developing new machine-learning models for better understanding how different people contribute individual stylistic elements to musical recordings.


Read more at: Xiaoyue Zhou to start funded PhD at University College London

Xiaoyue Zhou to start funded PhD at University College London

13 May 2024

We are very happy to hear that Xiaoyue Zhou, summer project student at the CMS (2023), has been awarded a PhD studentship at University College London. Xiaoyue will be working with Prof. Maria Chait and Prof. Neil Burgess. Congratulations Xiaoyue!


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Latest news

New paper: Artist identification using rhythm via machine learning

1 October 2024

We are excited to share our new paper appearing in the journal Royal Society Open Science, entitled “Rhythmic Qualities of Jazz Improvisation Predict Performer Identity and Style in Source-Separated Audio Recordings”. This was completed by Huw Cheston during his PhD at the CMS, and builds from two earlier publications...

New paper: Computational analysis of improvised music at scale

1 October 2024

Our new paper entitled “Jazz Trio Database: Automated Annotation of Jazz Piano Trio Recordings Processed Using Audio Source Separation” is just published in Transactions of the International Society of Music Information Retrieval (TISMIR). This paper arises from work completed by Huw Cheston during his PhD at the CMS, in...

New paper: Coordinating online music performances

1 October 2024

Our new paper entitled “Trade-offs in Coordination Strategies for Duet Jazz Performances Subject to Network Delay and Jitter” has just been published in Music Perception. This paper arises from work completed by Huw Cheston during the early stages of his PhD at the CMS, and was funded by an award from Cambridge Digital...