• myGriffith
    • Staff portal
    • Contact Us⌄
      • Future student enquiries 1800 677 728
      • Current student enquiries 1800 154 055
      • International enquiries +61 7 3735 6425
      • General enquiries 07 3735 7111
      • Online enquiries
      • Staff phonebook
    View Item 
    •   Home
    • Griffith Research Online
    • Journal articles
    • View Item
    • Home
    • Griffith Research Online
    • Journal articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

  • All of Griffith Research Online
    • Communities & Collections
    • Authors
    • By Issue Date
    • Titles
  • This Collection
    • Authors
    • By Issue Date
    • Titles
  • Statistics

  • Most Popular Items
  • Statistics by Country
  • Most Popular Authors
  • Support

  • Contact us
  • FAQs
  • Admin login

  • Login
  • Improving objective intelligibility prediction by combining correlation and coherence based methods with a measure based on the negative distortion ratio

    Author(s)
    Gomez, Angel M
    Schwerin, Belinda
    Paliwal, Kuldip
    Griffith University Author(s)
    Schwerin, Belinda M.
    Paliwal, Kuldip K.
    Year published
    2012
    Metadata
    Show full item record
    Abstract
    In this paper we propose a novel objective method for intelligibility prediction of enhanced speech which is based on the negative distortion ratio (NDR) - that is, the amount of power spectra that has been removed in comparison to the original clean speech signal, likely due to a bad noise estimate during the speech enhancement procedure. While negative spectral distortions can have a significant importance in subjective intelligibility assessment of processed speech, most of the objective measures in the literature do not well account for this type of distortion. The proposed method focuses on a very specific type of noise, ...
    View more >
    In this paper we propose a novel objective method for intelligibility prediction of enhanced speech which is based on the negative distortion ratio (NDR) - that is, the amount of power spectra that has been removed in comparison to the original clean speech signal, likely due to a bad noise estimate during the speech enhancement procedure. While negative spectral distortions can have a significant importance in subjective intelligibility assessment of processed speech, most of the objective measures in the literature do not well account for this type of distortion. The proposed method focuses on a very specific type of noise, so it is not intended to be used alone but in combination with other techniques, to jointly achieve a better intelligibility prediction. In order to find an appropriate technique to be combined with, in this paper we also review a number of recently proposed methods based on correlation and coherence measures. These methods have already shown a high correlation with human recognition scores, as they effectively detect the presence of nonlinearities, frequently found in noise-suppressed speech. However, when these techniques are jointly applied with the proposed method, significantly higher correlations (above r = 0.9) are shown to be achieved.
    View less >
    Journal Title
    Speech Communication
    Volume
    54
    Issue
    3
    DOI
    https://doi.org/10.1016/j.specom.2011.11.001
    Subject
    Signal processing
    Cognitive and computational psychology
    Linguistics
    Communications engineering
    Artificial intelligence
    Publication URI
    http://hdl.handle.net/10072/50009
    Collection
    • Journal articles

    Footer

    Disclaimer

    • Privacy policy
    • Copyright matters
    • CRICOS Provider - 00233E
    • TEQSA: PRV12076

    Tagline

    • Gold Coast
    • Logan
    • Brisbane - Queensland, Australia
    First Peoples of Australia
    • Aboriginal
    • Torres Strait Islander