Jan Van Balen

research · thesis · press · talks · github

Hi, I'm Jan.

I’m a digital music researcher working on music discovery at Apple.

In 2016, I completed a PhD on music representations and corpus analysis strategies for audio-based music research, at Utrecht University in the Netherlands.

With colleagues at the University of Amsterdam, we made the citizen science games Hooked! (NL) and #hookedonmusic (UK), which we developed for a research project on popular music and memory.

I have also worked on content identification (audio fingerprinting, cover detection, sample identification), structure analysis (segmentation, chorus detection), general-purpose music description and other topics in audio signal processing and information retrieval.


Thesis

Van Balen, J. (2016). Audio Description and Corpus Analysis of Popular Music. PhD thesis, Utrecht University.

See thesis page for a short description of each chapter.


Selected publications

Van Balen, J., Burgoyne, J.A., Müllensiefen, D. & Veltkamp, R.C. (2015). Corpus Analysis Tools for Computational Hook discovery. 16th Society for Music Information Retrieval Conference (ISMIR).

Van Balen, J., Wiering, F. & Veltkamp, R.C. (2015). Audio Bigrams as a Unifying Model of Pitch-based Song Description. 11th International Symposium on Computer Music Multidisciplinary Research (CMMR).

Van Balen, J., Bountouridis, D., Wiering, F. & Veltkamp, R.C. (2014). Cognition-inspired Descriptors for Scalable Cover Song Retrieval. 15th Society for Music Information Retrieval Conference (ISMIR).

Van Balen, J., Burgoyne, J.A., Wiering, F. & Veltkamp, R.C. (2013). An Analysis of Chorus Features in Popular Song. 14th Society for Music Information Retrieval Conference (ISMIR).

Van Balen, J., Serra, J. & Haro, M. (2013). Sample Identification in Hip Hop Music. From Sounds to Music and Emotions (post-proceedings for CMMR 2012) (pp. 301-312). Springer Berlin Heidelberg.