Matt Prockup

Music, Machine Learning, Interactive Systems

I am currently a scientist at Pandora working on methods and tools for Music Information Retrieval at scale. I received my Ph.D. in Electrical Engineering from Drexel University. My research interests span a wide scope of topics including audio signal processing, machine learning, and human computer interaction. I am also an avid percussionist and composer, having performed in and composed for various ensembles large and small. I’ve also studied floral design and making wheel thrown ceramics.

PublicationS

  1. Ebrahimi, S., Vahabi, H., Prockup, M., and Nieto, O., “Predicting Audio Advertisement Quality”. Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining (WSDM '18). Marina Del Rey, CA, 2018 [PDF]

  2. Pons, J., Nieto, O., Prockup, M., Schmidt, E., Ehmann, A. and Serra, X., “End-To-End Learning for Music Audio Tagging at Scale.“ International Society for Music Information Retrieval Conference, Paris, France, 2018. [PDF]

  3. Prockup, M., “A Data-driven Exploration of Rhythmic Attributes and Style in Music”. Ph.D Thesis. 2016 [PDF]

    Prockup, M., Ehmann, A., Gouyon, F., Schmidt, E., Celma, O., Kim, Y., "Modeling Genre with the Music Genome Project: Comparing Human-Labeled Attributes and Audio Features."  International Society for Music Information Retrieval Conference, Malaga, Spain, 2015. [PDF] 

  4. Prockup, M., Asman, A., Ehmann, A., Gouyon, F., Schmidt, E., Kim, Y., "Modeling Rhythm Using Tree Ensembles and the Music Genome Project." Machine Learning for Music Discovery Workshop at the 32nd International Conference on Machine Learning, Lille, France, 2015. [PDF] 

  5. Prockup, M., Ehmann, A., Gouyon, F., Schmidt, E., Kim, Y., "Modeling Rhythm at Scale with the Music Genome Project." IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, New York, 2015. [PDF] 

  6. Prockup, M., Scott, J., and Kim, Y. "Representing Musical Patterns via the Rhythmic Style Histogram Feature." Proceedings of the ACM International Conference on Multimedia, Orlando, Florida, 2014. [PDF] 

  7. Prockup, M., Schmidt, E., Scott, J. & Kim, Y. Toward understanding expressive percussion through content based analysis. Proceedings of the 14th International Society for Music Information Retrieval Conference. Curitiba, Brazil. 2013 [PDF]

  8. Schmidt, E. M., Prockup, M., Scott, J., Dolhansky, B., Morton, B. G., and Kim, Y. E. (2013). Analyzing the Perceptual Salience of Audio Features for Musical Emotion Recognition. Computer Music Modeling and Retrieval. Music and Emotions.

  9. Prockup, M.; Grunberg, D.; Hrybyk, A.; Kim, Y.E., Orchestral Performance Companion: Using Real-Time Audio to Score Alignment. IEEE MultiMedia , vol.20, no.2, pp.52,60, April-June 2013

  10. Schmidt, E. M., Prockup, M., Scott, J., Dolhansky, B., Morton, B. and Kim, Y. E. (2012). Relating perceptual and feature space invariances in music emotion recognition. Proceedings of the International Symposium on Computer Music Modeling and Retrieval, London, U.K.: CMMR. (Best Student Paper)  [PDF] [Oral Presentation]

  11. Scott, J., Schmidt, E. M., Prockup, M., Morton, B. and Kim, Y. E. (2012). Predicting time-varying musical emotion distributions from multi-track audio. Proceedings of the International Symposium on Computer Music Modeling and Retrieval, London, U.K.: CMMR. [PDF]

  12. Batula, A. M., Morton, B. G., Migneco, R., Prockup, M., Schmidt, E. M., Grunberg, D. K., Kim, Y. E., and Fontecchio, A. K. (2012). Music Technology as an Introduction to STEM. Proceedings of the 2012 ASEE Annual Conference, San Antonio, Texas: ASEE. [PDF]

  13. Scott, J., Dolhansky, B., Prockup, M., McPherson, A., Kim, Y. E. (2012). New Physical and Digital Interfaces for Music Creation and Expression. Proceedings of the 2012 Music, Mind and Invention Workshop, Ewing, NJ: [PDF]

  14. Prockup, M., Batula, A., Morton, B., Kim,Y. E (2012). Education Through Music Technology. Proceedings of the 2012 Music, Mind and Invention Workshop, Ewing, NJ

  15. Scott, J., Prockup, M., Schmidt, E. M., Kim, Y. E. (2011). Automatic Multi-Track Mixing Using Linear Dynamical Systems. Proceedings of the 8th Sound and Music Computing Conference, Padova, Italy: SMC. [PDF]

  16. Kim, Y. E., Batula, A. M., Migneco, R., Richardson, P., Dolhansky, B., Grunberg, D., Morton, B., Prockup, M., Schmidt, E. M., and Scott, J. (2011). Teaching STEM concepts through music technology and DSP. Proceedings of the 14th IEEE Digital Signal Processing Workshop and 6th IEEE Signal Processing Education Workshop, Sedona, AZ: DSP/SPE. [PDF]