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ISMIR 2019 Conference sampler
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This episode brings recommendations from the 2019 ISMIR conference at TUDelft in the Netherlands. A number of contributors, old and new, highlighted papers that had caught their attention.
Note: At ISMIR, all accepted papers were presented via a short 4 minute talk and a poster. This arrangement made it possible to keep all presentations in a single track. All papers and permited talks are posted on the ISMIR site.
Time Stamps
- [0:01:51] Matan’s rec
- [0:07:27] Rachel’s rec
- [0:10:51] Andrew’s rec
- [0:15:20] Ashley and Felicia’s rec
- [0:19:59] Néstor’s rec
- [0:26:55] Tejaswinee’s rec
- [0:31:13] Brian’s rec
- [0:36:06] Finn’s recs
Show notes
- Matan Gover recommends [A13] Conditioned-U-Net: Introducing a Control Mechanism in the U-Net for Multiple Source Separations by Gabriel Meseguer Brocal and Geoffroy Peeters (paper, presentation)
- Andrew Demetriou recommends [F10] Tunes Together: Perception and Experience of Collaborative Playlists by So Yeon Park; Audrey Laplante; Jin Ha Lee; Blair Kaneshiro (paper, presentation)
- Tejaswinee Kelkar recommends [B03] Estimating Unobserved Audio Features for Target-Based Orchestration by Jon Gillick; Carmine-Emanuele Cella; David Bamman (paper, presentation)
- Ashley Burgoyne and Felicia Villalobos recommend [E13] SAMBASET: A Dataset of Historical Samba de Enredo Recordings for Computational Music Analysis by Lucas Maia; Magdalena Fuentes; Luiz Biscainho; Martín Rocamora; Slim Essid (paper, presentation)
- Néstor Nápoles López recommends the anniversary paper [E-00] 20 Years of Automatic Chord Recognition from Audio by Johan Pauwels; Ken O’Hanlon; Emilia Gomez; Mark B. Sandler (paper, presentation)
- Rachel Bittner recommends [A06] Cover Detection with Dominant Melody Embeddings by Guillaume Doras; Geoffroy Peeters (paper, presentation)
- Brian McFee recommends [E-06] FMP Notebooks: Educational Material for Teaching and Learning Fundamentals of Music Processing by Meinard Müller; Frank Zalkow (paper, presentation, webpage)
- And Finn’s rec:
- [D-12] AIST Dance Video Database: Multi-Genre, Multi-Dancer, and Multi-Camera Database for Dance Information Processing By Shuhei Tsuchida; Satoru Fukayama; Masahiro Hamasaki; Masataka Goto. (Paper, presentation)
- Keynotes: Henkjan Honing’s What makes us musical animals and Georgina Born’s MIR redux: Knowledge and realworld challenges, and new interdisciplinary futures
- [F-14] The ISMIR Explorer – A Visual Interface for Exploring 20 Years of ISMIR Publications by Thomas Low; Christian Hentschel; Sayantan Polley; Anustup Das; Harald Sack; Andreas Nurnberger; Sebastian Stober (paper, presentation, website)
Credits
The So Strangely Podcast is produced by Finn Upham, 2019. Algorithmic music samples from the blog post Music Transformer: Generating Music with Long-Term Structure, and included under the principles of fair dealing. The closing music includes a sample of Diana Deutsch’s Speech-Song Illusion sound demo 1.
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Episode 7: Society for Neuroscience 2018 Music Science Review
Podcast: Play in new window | Download (Duration: 1:21:34 — 75.0MB)
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Four Music Science attendees of the 2018 meeting of the Society for Neuroscience join Finn to discuss their experience of the conference, their own projects, and other interesting research presented. PhD Candidates Avital Sternin, Andrew Chang, Dr. Keith Doelling, and Prof. Amy Belfi get into the neural processing of song, emotion and alzheimer’s, leadership in small ensembles, onset prediction in the auditory cortex and more. Get an inside view of how Music Science fits into the biggest Neuroscience conference according to the young scientists on the ground.
Time Stamps
- [0:01:06] Introduction of panelists
- [0:03:12] Introduction of Society for Neuroscience Conference
- [0:07:11] Music Science at SfN and in Neuroscience
- [0:10:48] Avital’s project (introduced by Amy)
- [0:21:50] Andrew’s project (introduced by Keith)
- [0:33:18] Amy’s project (introduced by Avital)
- [0:44:04] Keith’s project (introduced by Andrew)
Show notes
- SfN18 website and program
- Avital Sternin, PhD Candidate at The Brain and Mind Institute of The University of Western Ontario
- Andrew Chang, Ph.D. Candidate in Department of Psychology, Neuroscience & Behaviour at McMaster University
- Abstract, Poster for Neural oscillatory mechanisms for interpersonal entrainment in music ensembles by A. Chang, P. Chrapka, D. Bosnyak, L. J. Trainor.
- Associated paper: A. Chang, S.R. Livingstone, D. Bosnyak, and L. J. Trainor. Body sway reflects leadership in joint music performance. PNAS May 23, 2017 114 (21) E4134-E4141
- Prof. Amy Belfi, Department of Psychological Science at Missouri University of Science and Technology
- Dr. Keith Doelling, Dept. of Psychology, Centre for Neural Science, New York University
- Abstract, Poster for Assessing evoked and oscillatory components in cortical synchronization to music using computational models by K. Doelling, M.F. Assaneo, J. Rowland, D. Bevilacqua, B. Pesaran, D. Poeppel.
- Associated paper: K. B. Doelling and D. Poeppel. Cortical entrainment to music and its modulation by expertise. PNAS November 10, 2015 112 (45) E6233-E6242
- Other SfN 2018 posters mentioned
- Beat perception ability and familiarity with music alter gait in older adults during auditory cueing E. A. READY, J. D. HOLMES, J. S. GRAHN (and poster)
- Finding the beat: A neuro-mechanistic model for rhythmic beat generation Á. BYRNE, A. BOSE, J. M. RINZEL
- Predictability and uncertainty in the pleasure of music B. P. GOLD, M. T. PEARCE, E. MAS-HERRERO, A. DAGHER, R. ZATORRE
- Distinct neural selectivities for music, speech, and song in human auditory cortex S. V. NORMAN-HAIGNERE, J. J. FEATHER, P. BRUNNER, A. RITACCIO, J. H. MCDERMOTT, G. SCHALK, N. G. KANWISHER (and associated paper, pdf)
- Spontaneous speech synchronization predicts neurophysiology, brain anatomy and language learning M. F. ASSANEO, P. RIPOLLES, J. ORPELLA, R. DE DIEGO-BALAGUER, D. POEPPEL
- Video of Dialogues Between Neuroscience and Society: Music and the Brain, with Pat Metheny
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.