The Trumpet Shall Sound:  De-anonymizing jazz recordings

We are experimenting with automated techniques to identify performers on jazz recordings by using stylistic measures of acoustic signals. Many early jazz recordings do not identify individual musicians, leaving them under-appreciated. We look at individual notes and phrasing for recognition of jazz trumpeters as an example.

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Author and article information

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Janet Lazar

Conference

Publication date: July 2016

Publication date (Print): July 2016

Pages: 279-283

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[1 ] Rutgers University

New Brunswick, NJ, USA

Article

DOI: 10.14236/ewic/EVA2016.55

SO-VID: 41138e08-2da6-4d49-889b-9bddad49c9fc

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This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Electronic Visualisation and the Arts

Conference acronym: EVA

Conference number:

Conference location: London, UK

Conference date: 12 - 14 July 2016

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Electronic Visualisation and the Arts

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1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2016.55

Self URI (journal page): https://ewic.bcs.org/

REFERENCES

J. AbesserE. CanoK. FrieierM. PfleidereW.-G. Zaddach 2015 Score-Informed Analysis of Intonation and Pitch Modulations in Jazz Solos 16^th conference, International Society for Music Information Retrieval
S. Dixon 2001 An Interactive Beat Tracking and Visualisation System In Proceedings of the 2001 International Computer Music Conference (ICMC’2001)
T. Ford 2005 A recent history of ribbon microphones Ty Ford Audio and Video Blogspot ext-link-type="uri" xlink:href="http://tyfordaudiovideo.blogspot.com/2012/02/recent-history-of-ribbon-microphones.html">http://tyfordaudiovideo.blogspot.com/2012/02/recent-history-of-ribbon-microphones.html 14 June 2016
C. SaundersD. HardoonJ. Shawe-TaylorG. Widmer 2008 Using string kernels to identify famous performers from their playing style Intelligent Data Analysis 12 4 425 440
Nadine KroherGómez Emilia 2014 “Automatic Singer Identification For Improvisational Styles Based On Vibrato, Timbre And Statistical Performance Descriptors.” Proceedings ICMCISMCI2014 (Joint International Computer Music and Sound and Music conference) 14-20 September Athens, Greece 1160 1165
O. LartillotP. ToiviainenT Eerola 2008 “A matlab toolbox for music information retrieval” C. PreisachP. D. H. BurkhardtP. D. L. Schmidt-ThiemeP. D. R. Decker Data Analysis, Machine Learning and Applications, Studies in Classification Data Analysis, and Knowledge Organization 261 268 Springer, Berlin/Heidelberg
R. RamirezE. MaestreA. PertusaE. GómezX. Serra 2007 Performance-based interpreter identification in saxophone audio recordings IEEE Transactions on Circuits and Systems for Video Technology 17 3 356 364

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[1] J. AbesserE. CanoK. FrieierM. PfleidereW.-G. Zaddach 2015 Score-Informed Analysis of Intonation and Pitch Modulations in Jazz Solos 16^th conference, International Society for Music Information Retrieval

[2] S. Dixon 2001 An Interactive Beat Tracking and Visualisation System In Proceedings of the 2001 International Computer Music Conference (ICMC’2001)

[3] T. Ford 2005 A recent history of ribbon microphones Ty Ford Audio and Video Blogspot ext-link-type="uri" xlink:href="http://tyfordaudiovideo.blogspot.com/2012/02/recent-history-of-ribbon-microphones.html">http://tyfordaudiovideo.blogspot.com/2012/02/recent-history-of-ribbon-microphones.html 14 June 2016

[4] C. SaundersD. HardoonJ. Shawe-TaylorG. Widmer 2008 Using string kernels to identify famous performers from their playing style Intelligent Data Analysis 12 4 425 440

[5] Nadine KroherGómez Emilia 2014 “Automatic Singer Identification For Improvisational Styles Based On Vibrato, Timbre And Statistical Performance Descriptors.” Proceedings ICMCISMCI2014 (Joint International Computer Music and Sound and Music conference) 14-20 September Athens, Greece 1160 1165

[6] O. LartillotP. ToiviainenT Eerola 2008 “A matlab toolbox for music information retrieval” C. PreisachP. D. H. BurkhardtP. D. L. Schmidt-ThiemeP. D. R. Decker Data Analysis, Machine Learning and Applications, Studies in Classification Data Analysis, and Knowledge Organization 261 268 Springer, Berlin/Heidelberg

[7] R. RamirezE. MaestreA. PertusaE. GómezX. Serra 2007 Performance-based interpreter identification in saxophone audio recordings IEEE Transactions on Circuits and Systems for Video Technology 17 3 356 364

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The Trumpet Shall Sound: De-anonymizing jazz recordings