David Grunberg

Education:


  • BS: Drexel University, June 2010
  • MS: Drexel University, December 2011
  • PhD: Drexel University, December 2014


Bio:


I am currently a PhD Candidate and Research Assistant in the Music Entertainment Technology Laboratory (MET-Lab) of Drexel University's Electrical and Computer Engineering Department. My research focuses on the automatic analysis of musical signals.

I am a National Science Foundation Graduate Research Fellow, and am a member of IEEE, Tau Beta Pi and Eta Kappa Nu.

My curriculum vitae is available here.

Research Projects:


  • Beat Tracking in Noisy Acoustic Conditions. I have developed a beat tracker algorithm which gives state-of-the-art performance on audio that was heard in noisy acoustic conditions. While beat tracking is a popular task in the field of Music-Information Retrieval, most algorithms developed for this task were designed for and evaluated on audio that was recorded in very clean acoustic conditions, such as professional studios. However, humans often listen to music in noisy acoustic conditions, such as crowded bars and clubs, and it would be useful if our algorithms could accurately beat-track this audio as well. The algorithm that I developed for this task formed the basis for my PhD Thesis.
  • Musical Humanoid Robots. I have enabled humanoid robots to analyze musical signals and produce responses based on high-level features, such as beat locations and emotional content, which they observe in the music. My algorithms have been used to enable humanoids to move in synchrony with music by listening for sequences of beats and to mimic the emotional content of music by estimating the mood of the audio. I also helped enable a robot which played musical notes on a percussion instrument to determine if it was playing the notes correctly by analyzing the sounds that it heard and the feedback from its force-torque sensors.
  • LiveNote: Orchestral Performance Companion. I contributed to the development of an app that tracks an orchestral performance and identifies the position of the orchestra in a musical work. This position is used to display relevant information on handheld client devices in the audience, thereby guiding people through the work as the music progresses. My contributions to the project centered on the development of the algorithm which allowed the app to know which measure the orchestra is playing at any given time. This system won a Knights Foundation grant for continued development, and has been deployed by the Philadelphia Orchestra.


Thesis:


    D. K. Grunberg, "Developing a Noise-Robust Beat Learning Algorithm for Music-Information Retrieval", Unpublished Ph.D. Thesis, Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA, 2014. [PDF]

Journal Publications:


  • M. P. Prockup, D. K. Grunberg, A. Hrybyk, and Y. E. Kim, "Orchestral Performance Companion: Using Real-Time Audio to Score Alignment," in IEEE Multimedia, 20(2), 2013. [PDF]

  • D. K. Grunberg, A. M. Batula, E. M. Schmidt, and Y. E. Kim, "Synthetic Emotions for Humanoids: Perceptual Effects of Size and Number of Robot Platforms," Journal of Synthetic Emotions: Special Issue on Music, Robots, and Emotion (invited paper), 2012. [PDF]

  • D. K. Grunberg, R. Ellenberg, I.-H. Kim, J.-H. Oh, P. Y. Oh, and Y. E. Kim, “Development of an Autonomous Dancing Robot,” International Journal of Hybrid Information Technology, 2010. [PDF]

Conference Publications:


  • D. K. Grunberg, "Music Information Retrieval in Environments Containing Acoustic Noise," in Proceedings of the ACM International Conference on Multimedia (doctoral symposium), 2014. [PDF]

  • D. K. Grunberg and Y. E. Kim, "Rapidly Learning Musical Beats in the Presence of Environmental and Robot Ego Noise," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014. [PDF]

  • A. M. Batula, M. V. Colacot, D. K. Grunberg, and Y. E. Kim, "Using Audio and Haptic Feedback to Detect Errors in Humanoid Musical Performances," in Proceedings of the International Conference on New Inferfaces for Musical Expression, 2013. [PDF]

  • D. K. Grunberg, A. M. Batula, E. M. Schmidt, and Y. E. Kim, "Affective Gesturing with Music Mood Recognition," in Proceedings of the International Conference on Humanoid Robotics, 2012. [PDF]

  • A. M. Batula, B. G. Morton, R. V. Migneco, M. Prockup, E. M. Schmidt, D. K. Grunberg, Y. E. Kim, and A. K. Fontecchio, "Music Technology as an Introduction to STEM," in Proceedings of the 2012 ASEE Annual Conference, 2012. [PDF]

  • D. K. Grunberg, A. M. Batula, and Y. E. Kim, "Towards the Development of Robot Musical Audition," in Proceedings of the 2012 Music, Mind, and Invention Workshop (MMI), 2012. [PDF]

  • D. K. Grunberg, D. M. Lofaro, P. Y. Oh, and Y. E. Kim, "Robot Audition and Beat Identification in Noisy Environment," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011. [PDF]

  • Y. E. Kim, D. K. Grunberg, A. M. Batula, D. M. Lofaro, J.-H. Oh, and P. Y. Oh, "Enabling Humanoid Musical Interaction and Performance," in Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, 2011. [PDF]

  • Y. E. Kim, A. M. Batula, R. V. Migneco, P. Richardson, B. Dolhansky, D. K. Grunberg, B. G, Morton, M. Prockup, E. Schmidt, and J. J. Scott, "Teaching STEM Concepts Through Music Technology and DSP," in Proceedings of the 14th IEEE Digital Signal Processing Workshop and 6th IEEE Signal Processing Education Workshop, 2011. [PDF]

  • Y. E. Kim, A. M. Batula, D. K. Grunberg, D. M. Lofaro, J.-H. Oh, and P. Y. Oh, “Developing Humanoids for Musical Interaction,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, October, 2010. [PDF]

  • R. Ellenberg, D. K. Grunberg, P. Y. Oh, and Y. E. Kim, “Using Miniature Humanoids as Surrogate Research Platforms,” in Proceedings of the IEEE-RAS Conference on Humanoid Robotics, 2009. [PDF]

  • D. K. Grunberg, R. Ellenberg, P. Y. Oh, and Y. E. Kim, “Creating an Autonomous Dancing Robot,” in Proceedings of the International Conference on Hybrid Information Technology, August, 2009. [PDF]

  • D. K. Grunberg, R. Ellenberg, Y. E. Kim, and P. Y. Oh, "From RoboNova to HUBO: Platforms in Robot Dance," in Proceedings of the International Conference of Advanced Humanoid Robotics Research (ICAHRR) 2009, August, 2009. [PDF]

  • R. Ellenberg, D. K. Grunberg, P. Y. Oh, and Y. E. Kim, “Exploring Creativity Through Humanoids and Dance,” in Proceedings of the 5th International Conference on Ubiquitous Robotics and Ambient Intelligence, November, 2008. [PDF]

Demonstrations:



  • Association for the Advancement of Artificial Intelligence (AAAI) 2008 -- Musical Humanoid Robots project.
  • International Symposium for Music Information Retreival (ISMIR) 2008 -- Musical Humanoid Robots project.