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A low-complexity spectro-temporal based perceptual model
Delft University of Technology, Netherlands .
2009 (English)In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, IEEE , 2009, 153-156 p.Conference paper, Published paper (Refereed)
Abstract [en]

The use of psychoacoustical masking models for audio coding applications has been wide spread over the past decades. In such applications, it is typically assumed that the original input signal serves as a masker for the distortions that are introduced by the lossy coding method that is used. Up to now, these masking models are mostly based on spectral masking. In this paper, we propose a new perceptual model for audio and speech processing algorithms based on spectro-temporal masking. A sophisticated perceptual model is simplified, such that the eventual distortion measure can be written as a frequency-weighted l2-norm. This yields the same computational complexity as conventional spectral-based methods, but with the preservation of the temporal fine structure of the clean signal. It is shown that the new model can successfully avoid pre-echoes and can correctly predict masking curves for various maskers.

Place, publisher, year, edition, pages
IEEE , 2009. 153-156 p.
Series
IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings, ISSN 1520-6149
Keyword [en]
Audio coding, Auditory masking, Psychoacoustics
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-98831ISBN: 978-142442354-5 (print)OAI: oai:DiVA.org:kth-98831DiVA: diva2:539505
Conference
2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009; Taipei; 19 April 2009 through 24 April 2009
Note
QC 20120808Available from: 2012-07-04 Created: 2012-07-03 Last updated: 2012-08-08Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf