About me

Translation: de
Tue, 17 Aug 2021

Frank Zalkow

I am Frank Zalkow, a post-doctoral researcher at the Fraunhofer Institute for Integrated Circuits IIS. In 2021, I received my Ph.D. (Dr.-Ing.) from the Friedrich–Alexander University Erlangen–Nürnberg. Until recently, my research focus was mainly on semantic music processing and content-based music retrieval. Now, I am also starting to take spoken language processing into account.

Born 1988 in Großenhain (district of Meißen), Germany. 2012 Bachelor-degree Music Informatics and Musicology at the University of Music Karlsruhe. 2015 Master-degree Music Informatics ibidem. 2021 Ph.D. with the thesis Learning Audio Representations for Cross-Version Retrieval of Western Classical Music, Friedrich–Alexander University Erlangen–Nürnberg.

2009 contribution at the Institute for Music and Acoustics | Center for Art and Media Karlsruhe to the production of the electronic music for the premiere of Karlheinz Stockhausen's »Rays« for a percussionist and 10-track tape. There work for digitization and archival purposes 2010-2013. 2008–2015 work at the Max-Reger-Institute Karlsruhe, 2010–2015 especially for the Edition of Reger Works, published as a Hybrid-Edition (in digital and printed form), as well as for the homepage design 2013–2015. From winter term 13/14 to summer term 2015 several lectureships at the Institute of Musicology and Music Informatics at the University of Music Karlsruhe. From October 2015 to July 2016 research fellow at the Institute of Musicology at Saarland University within the scope of the DFG-project Computer-aided analysis of harmonic structures. From August 2016 to July 2021 research fellow at the International Audio Laboratories Erlangen. Since August 2021 post-doctoral researcher at the Fraunhofer Institute for Integrated Circuits IIS.

Publications

Courses

Doctoral Thesis

  • Learning Audio Representations for Cross-Version Retrieval of Western Classical Music (Download, 8.1 MB), Friedrich–Alexander University Erlangen–Nürnberg, 2021.

Master Thesis

  • Automated musical style analysis – Computational exploration of the bass guitar play of Jaco Pastorius on symbolic level (Download, 3.6 MB), University of Music Karlsruhe, 2015.