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Episode 6: Relevance of vocals to music listener preferences, with Brian McFee and guest Andrew Demetriou
Podcast: Play in new window | Download (Duration: 1:14:48 — 70.9MB)
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Music tech and data science professor Brian McFee recommends Vocals in Music Matter: The Relevance of Vocals in the Minds of Listeners by Andrew Demetriou, Andreas Jansson, Aparna Kumar, and Rachel M. Bittner, published in the 2018 ISMIR proceedings. Brian and Finn interview Andrew Demetriou about this research combining descriptions of music on Spotify and survey responses on what users pay attention to, like, and dislike in music generally and vocals specifically.
Time Stamps
- [0:00:00] Introduction with Brian
- [0:10:05] Interview: Introduction: Origins of paper and Survey 1 analysis
- [0:20:15] Interview: Results of survey 1 and ethical research practices at Spotify
- [0:27:03] Interview: Second Survey construction, analysis, and results
- [0:34:37] Interview: Problems of terminology and labeling
- [0:43:27] Interview: Overall results and absence of vocals terms in music descriptions
- [0:53:30] Interview: Implications for everyday music listening
- [0:58:40] Closing with Brian (12/10 for efficient summary)
Show notes
- Recommended article:
- Demetriou, A., Jansson, A., Kumar, A., & Bittner, R. M. Vocals in Music Matter: The Relevance of Vocals in the Minds of Listeners. Proceedings of ISMIR 2018 (pp. 514-520).
- Slide deck from the corresponding ISMIR talk that caught Brian’s attention
- Interviewee: Andrew Demetriou
- Co-host: Prof. Brian McFee
And here is the action shot of the research team card sorting participants’ text responses to Survey 1.
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.
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Episode 2: Aligned Hierarchies and Segmentation with Vincent Lostanlen and guest Katherine Kinnaird
Podcast: Play in new window | Download (Duration: 1:13:48 — 70.0MB)
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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.
- Recommended article: