Automatic Classification and Recognition of Music

Project Details

Description

Feature extraction from music using redundant signal representations. The features will be evaluated by comparing their abillity to classify music with that of more conventional features like MFCC, zero-crossing rate, bandwith, centroid, etc.
StatusFinished
Effective start/end date31/07/200601/01/2009

Funding

  • Aalborg University: DKK1,500,000.00

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • Comparison of Methods for Sparse Representation of Musical Signals

    Endelt, L. Ø. & la Cour-Harbo, A., 2005, IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). Vol. 3. 4 p.

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    Open Access
    File
    5 Citations (Scopus)
    392 Downloads (Pure)
  • Energy distribution for Coefficients of Redundant Signal Representations of Music

    Endelt, L. Ø. & la Cour-Harbo, A., 2005, Proceedings of SPARS05.

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

  • Wavelets for Sparse Representation of Music

    Endelt, L. Ø. & la Cour-Harbo, A., 2004, Proceedings of WEDELMUSIC 2004. p. 10-14 5 p.

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    Open Access
    File
    7 Citations (Scopus)
    1075 Downloads (Pure)