Robust music identification, detection, and analysis

Mehryar Mohri, Pedro Moreno, Eugene Weinstein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In previous work, we presented a new approach to music identification based on finite-state transducers and Gaussian mixture models. Here, we expand this work and study the performance of our system in the presence of noise and distortions. We also evaluate a song detection method based on a universal background model in combination with a support vector machine classifier and provide some insight into why our transducer representation allows for accurate identification even when only a short song snippet is available.

Original languageEnglish (US)
Title of host publicationProceedings of the 8th International Conference on Music Information Retrieval, ISMIR 2007
Pages135-138
Number of pages4
StatePublished - 2007
Event8th International Conference on Music Information Retrieval, ISMIR 2007 - Vienna, Austria
Duration: Sep 23 2007Sep 27 2007

Publication series

NameProceedings of the 8th International Conference on Music Information Retrieval, ISMIR 2007

Other

Other8th International Conference on Music Information Retrieval, ISMIR 2007
CountryAustria
CityVienna
Period9/23/079/27/07

ASJC Scopus subject areas

  • Music
  • Information Systems

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  • Cite this

    Mohri, M., Moreno, P., & Weinstein, E. (2007). Robust music identification, detection, and analysis. In Proceedings of the 8th International Conference on Music Information Retrieval, ISMIR 2007 (pp. 135-138). (Proceedings of the 8th International Conference on Music Information Retrieval, ISMIR 2007).