World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
8532
World Ranking
6518
National Ranking
2884

Overview

Roger B. Dannenberg is affiliated with Carnegie Mellon University in the United States. Their research primarily spans the broad field of Computer Science, with a focus on several specialized subfields including Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence, and Human-Computer Interaction.

The core topics of their work center on Music and Audio Processing, Music Technology and Sound Studies, and Neuroscience and Music Perception. Additional areas of interest include Speech Recognition and Synthesis, Speech and Audio Processing, Interactive and Immersive Displays, and Context-Aware Activity Recognition Systems.

Throughout their career, Roger B. Dannenberg has published extensively, contributing to a wide range of respected venues. Frequent publication venues for their work consist of:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of New Music Research
  • IEEE Transactions on Multimedia
  • Sensors

Their recent published papers demonstrate ongoing research in acoustic music understanding, melody generation, and algorithmic composition. Notable recent papers include:

  • "MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training" (2023), arXiv (Cornell University)
  • "Personalised Popular Music Generation Using Imitation and Structure" (2022), Journal of New Music Research
  • "Controllable Deep Melody Generation via Hierarchical Music Structure Representation" (2021), arXiv (Cornell University)
  • "Controllable Deep Melody Generation via Hierarchical Music Structure Representation" (2021), Zenodo (CERN European Organization for Nuclear Research)
  • "The Beauty of Repetition: An Algorithmic Composition Model With Motif-Level Repetition Generator and Outline-to-Music Generator in Symbolic Music Generation" (2023), IEEE Transactions on Multimedia

Roger B. Dannenberg has collaborated frequently with several researchers, reflecting a collaborative approach to their work. Among their most frequent co-authors are:

  • Shuqi Dai
  • Chenghua Lin
  • Gus Xia
  • Ruibin Yuan

The areas of study and publication history indicate a strong emphasis on integrating computational methods with music and audio analysis. Their contributions span theoretical and applied research aimed at understanding and generating music through advanced machine learning and signal processing techniques.

Best Publications

  • Garnet: comprehensive support for graphical, highly interactive user interfaces

    Brad A. Myers;Dario A. Giuse;Roger B. Dannenberg;Brad Vander Zanden

  • An On-Line Algorithm for Real-Time Accompaniment

    Roger B. Dannenberg

  • Polyphonic audio matching and alignment for music retrieval

    Ning Hu;R.B. Dannenberg;G. Tzanetakis

  • Pattern Discovery Techniques for Music Audio

    Roger B. Dannenberg;Ning Hu

  • TagATune: A Game for Music and Sound Annotation.

    Edith L. M. Law;Luis von Ahn;Roger B. Dannenberg;Mike Crawford

  • Multimedia interface design

    Meera M. Blattner;Roger B. Dannenberg

  • Music Representation Issues,Techniques,and Systems

    Roger B. Dannenberg

  • A Machine Learning Approach to Musical Style Recognition

    Roger B Dannenberg;Belinda Thom;David Watson

  • Tracking Musical Beats in Real Time.

    Paul E. Allen;Roger B. Dannenberg

  • Music score alignment and computer accompaniment

    Roger B. Dannenberg;Christopher Raphael

  • Creating graphical interactive application objects by demonstration

    B. A. Myers;B. V. Zanden;R. B. Dannenberg

  • The MUSART Testbed for Query-by-Humming Evaluation

    Roger B. Dannenberg;William P. Birmingham;George P. Tzanetakis;Colin P. Meek

  • Method and apparatus for interactive audience participation by audio command

    Roger B. Dannenberg;Robert N. Fisher;Andrew P. Witkin

  • Polyphonic Audio Matching for Score Following and Intelligent Audio Editors

    Roger B. Dannenberg;Ning Hu

  • Real-Time Computer Accompaniment of Keyboard Performances

    Joshua J. Bloch;Roger B. Dannenberg

  • A comparative evaluation of search techniques for query-by-humming using the MUSART testbed

    Roger B. Dannenberg;William P. Birmingham;Bryan Pardo;Ning Hu

  • Following an improvisation in real time

    Roger B. Dannenberg;Bernard Mont-Reynaud

  • A computer‐based multi‐media tutor for beginning piano students

    Roger B. Dannenberg;Marta Sanchez;Annabelle Joseph;Peter Capell

  • A comparison of melodic database retrieval techniques using sung queries

    Ning Hu;Roger B. Dannenberg

  • SMERS: Music emotion recognition using support vector regression

    Byeong Jun Han;Seungmin Rho;Roger B. Dannenberg;Eenjun Hwang

Frequent Co-Authors

George Tzanetakis
George Tzanetakis University of Victoria
Brad A. Myers
Brad A. Myers Carnegie Mellon University
Bhiksha Raj
Bhiksha Raj Carnegie Mellon University
Masataka Goto
Masataka Goto National Institute of Advanced Industrial Science and Technology
Daniel P. Siewiorek
Daniel P. Siewiorek Carnegie Mellon University
Larry Wasserman
Larry Wasserman Carnegie Mellon University
Antonio Camurri
Antonio Camurri University of Genoa
Henkjan Honing
Henkjan Honing University of Amsterdam
Julius O. Smith
Julius O. Smith Stanford University
Atsuo Takanishi
Atsuo Takanishi Waseda University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a Computer Science degree in the USA opens doors to many interdisciplinary and specialized careers. For those who want to diversify their expertise, related online degrees can complement your skills and expand your professional options.

Interested in the legal side of technology? Pairing your studies with a criminal justice major can lead to roles in cybersecurity, digital forensics, or law enforcement technology. If you enjoy working with numbers and information systems, taking accounting classes online can prepare you for careers in fintech, data auditing, or company IT departments.

The growing demand for big data skills has made an online masters in data science a popular next step for Computer Science graduates. Similarly, if you want to apply technical skills to real-world projects, the best 2 year construction management degree online can launch you into smart construction and engineering roles.

These pathways allow you to tailor your education and enter fields that value tech-savvy professionals with broad, adaptable knowledge.

Best Scientists Citing Roger B. Dannenberg

Trending Scientists