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The So Strangely Podcast
Finn Upham
15 episodes
9 months ago
Investigating the how and why of recent research in interdisciplinary Music Science by interviewing researchers from two angles: inside and outside of their area. Every episode, an expert shares their recommendation for a recent publication and we call up the PI to discuss how the research went and what the results mean for music and science. Note: This podcast is tailored for people into music and science, academics and students in the field rather than the general public.
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Life Sciences
Music,
Music Commentary,
Science,
Social Sciences
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All content for The So Strangely Podcast is the property of Finn Upham and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Investigating the how and why of recent research in interdisciplinary Music Science by interviewing researchers from two angles: inside and outside of their area. Every episode, an expert shares their recommendation for a recent publication and we call up the PI to discuss how the research went and what the results mean for music and science. Note: This podcast is tailored for people into music and science, academics and students in the field rather than the general public.
Show more...
Life Sciences
Music,
Music Commentary,
Science,
Social Sciences
https://is1-ssl.mzstatic.com/image/thumb/Podcasts125/v4/ab/20/97/ab20972c-083a-e3f9-bc60-6337b7e22ba6/mza_14012574947028183839.jpg/600x600bb.jpg
Episode 2: Aligned Hierarchies and Segmentation with Vincent Lostanlen and guest Katherine Kinnaird
The So Strangely Podcast
1 hour 13 minutes 48 seconds
7 years ago
Episode 2: Aligned Hierarchies and Segmentation with Vincent Lostanlen and guest Katherine Kinnaird
Data Scientist Vincent Lostanlen recommends Katherine Kinnaird's “Aligned Hierarchies: A Multi-Scale Structure-Based Representation for Music-Based Data Streams”, published in the proceedings of ISMIR (2016). Vincent and Finn interview Dr. Kinnaird about this method for abstracting structure in music through repetition, how it has been implemented for fingerprinting on Chopin's Mazurkas, and how Aligned Hierarchies could be used for other tasks and on other musics.
Show notes

* Recommended article:

* Kinnaird, K. M. (2016). Aligned Hierarchies: A Multi-Scale Structure-Based Representation for Music-Based Data Streams. In ISMIR  (pp. 337-343). http://m.mr-pc.org/ismir16/website/articles/020_Paper.pdf


* Interviewee: Dr. Katie Kinnaird, Data Sciences Postdoctoral Fellow, Affiliated to the Division of Applied Mathematics at Brown University twitter @kmkinnaird ‏
* Co-host: Dr. Vincent Lostanlen, Postdoctoral Researcher at the Cornell Lab of Ornithology, Visiting scholar at MARL at NYU, twitter: @lostanlen
* Papers cited in the discussion:

* M. Casey, C. Rhodes, and M. Slaney. Analysis of minimum distances in high-dimensional musical spaces. IEEE Transactions on Audio, Speech, and Language Processing, 16(5):1015 – 1028, 2008.
* J. Foote. Visualizing music and audio using self- similarity. Proc. ACM Multimedia 99, pages 77–80, 1999.
* M. Goto. A chorus-section detection method for musical audio signals and its application to a music listening station. IEEE Transactions on Audio, Speech, and Language Processing, 14(5):1783–1794, 2006.
* P. Grosche, J. Serrà, M. Müller, and J.Ll. Arcos. Structure-based audio fingerprinting for music retrieval. 13th International Society for Music Information Retrieval Conference, 2012.



Time Stamps

* [0:00:10] Intro with Vincent Lostanlen
* [0:17:22] Interview: Origins of the Aligned Hierarchies
* [0:30:22] Interview: Implementation & Fingerprinting on the Mazurkas
* [0:52:55] Interview: New applications and developments for Aligned Hierarchies
* [1:02:57] Closing with Vincent Lostanlen

Credits
The So Strangely Podcast is produced by Finn Upham, 2018.

The closing music includes a sample of Diana Deutsch’s Speech-Song Illusion Sound Demo 1.
The So Strangely Podcast
Investigating the how and why of recent research in interdisciplinary Music Science by interviewing researchers from two angles: inside and outside of their area. Every episode, an expert shares their recommendation for a recent publication and we call up the PI to discuss how the research went and what the results mean for music and science. Note: This podcast is tailored for people into music and science, academics and students in the field rather than the general public.