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      The Trumpet Shall Sound: De-anonymizing jazz recordings

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      Electronic Visualisation and the Arts (EVA)

      Electronic Visualisation and the Arts

      12 - 14 July 2016

      Jazz, performer identification, music analysis

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            Abstract

            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.

            Content

            Author and article information

            Contributors
            Conference
            July 2016
            July 2016
            : 279-283
            Affiliations
            [1 ] Rutgers University

            New Brunswick, NJ, USA
            Article
            10.14236/ewic/EVA2016.55
            41138e08-2da6-4d49-889b-9bddad49c9fc

            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/

            Electronic Visualisation and the Arts
            EVA
            London, UK
            12 - 14 July 2016
            Electronic Workshops in Computing (eWiC)
            Electronic Visualisation and the Arts
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            REFERENCES

            1. 2015 Score-Informed Analysis of Intonation and Pitch Modulations in Jazz Solos 16th conference, International Society for Music Information Retrieval

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

            3. 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. 2008 Using string kernels to identify famous performers from their playing style Intelligent Data Analysis 12 4 425 440

            5. 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. 2008 “A matlab toolbox for music information retrieval” Data Analysis, Machine Learning and Applications, Studies in Classification Data Analysis, and Knowledge Organization 261 268 Springer, Berlin/Heidelberg

            7. 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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