Audio Coding pp 251-254 | Cite as

Quality Evaluation

  • Yuli You
Chapter

Abstract

Since removal of perceptual irrelevance through quantization contributes the largest part of compression for a lossy audio coder, significant distortion or impairment is inherent in the reconstructed audio signal that the decoder outputs. The whole promise of perceptual audio coding is based on the assumption that quantization noise can be hidden behind or masked by the prominent signal components in such a way that it is inaudible.

Keywords

Audio Signal Listening Test Reverberation Time Audio Quality Audio Code 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 7.
    Clark, D.L.: Ten years of a/b/x testing. AES Convention 91(3167) (1991)Google Scholar
  2. 13.
    EBU: Sound quality assessment material recordings for subjective tests, vol. 3253-E. European Broadcasting Union (1988)Google Scholar
  3. 30.
    ITU: ITU-R Recommendation BS.1116: Methods for the subjective assessment of small impairments in audio systems including multichannel sound systems. ITU (1997)Google Scholar
  4. 31.
    ITU: ITU-R Recommendation BS.1387: Method for objective measurements of perceived audio quality (PEAQ). ITU (1998)Google Scholar

Copyright information

© Springer US 2010

Authors and Affiliations

  • Yuli You
    • 1
  1. 1.University of Minnesota in Twin CitiesMinneapolisUSA

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