Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    On the use of contextual time frequency information for full-band clustering-based convolutive blind source separation

    Access Status
    Fulltext not available
    Authors
    Atcheson, M.
    Jafari, I.
    Togneri, R.
    Nordholm, Sven
    Date
    2014
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Atcheson, M. and Jafari, I. and Togneri, R. and Nordholm, S. 2014. On the use of contextual time frequency information for full-band clustering-based convolutive blind source separation, in IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), May 4 2014. Florence, Italy: IEEE.
    Source Title
    2014 Acoustics, Speech and Signal Processing (ICASSP)
    Source Conference
    2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)
    DOI
    10.1109/ICASSP.2014.6853972
    ISSN
    1520-6149
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/28633
    Collection
    • Curtin Research Publications
    Abstract

    In this paper we propose to incorporate contextual time frequency information for clustering-based blind source separation. Previous clustering-based approaches have successfully used clustering techniques to estimate time-frequency separation masks; however, these approaches generally do not consider the contextual information of each time-frequency slot. Motivated by the homogenous behavior of speech signals, we modify the fuzzy c-means clustering to bias the results in favor of cluster membership homogeneity within localized neighborhoods in the time-frequency space. Experimental evaluations in both simulated and real-world underdetermined environments demonstrate improvement in source separation performance over previous clustering approaches.

    Related items

    Showing items related by title, author, creator and subject.

    • Time-frequency clustering with weighted and contextual information for convolutive blind source separation
      Jafari, I.; Atcheson, M.; Togneri, R.; Nordholm, Sven (2014)
      In this paper we investigate the use of observation weights and contextual time-frequency information for clustering-based blind source separation. Previous clustering-based approaches have successfully used clustering ...
    • A novel fuzzy clustering algorithm using observation weighting and context information for reverberant blind speech separation
      Kuhne, M.; Togneri, R.; Nordholm, Sven (2009)
      Time-frequency masking has evolved as a powerful tool for tackling blind source separation problems. In previous work, mask estimation was performed with the help of well-known standard cluster algorithms. Spatial observation ...
    • On the use of the Watson mixture model for clustering-based under-determined blind source separation
      Jafari, I.; Togneri, R.; Nordholm, Sven (2014)
      In this paper, we investigate the application of a generative clustering technique for the estimation of time-frequency source separation masks. Recent advances in time-frequency clustering-based approaches to blind source ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.