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Principles of Entropy Coding with Perceptual Quality Evaluation

  • Tom BäckströmEmail author
Chapter
Part of the Signals and Communication Technology book series (SCT)

Abstract

The objective of speech coding is to transmit speech at the highest possible quality with the lowest possible amount of resources. To achieve the best compromise, we can use available information about 1. the source, which is the speech production system, 2. the quality measure or evaluation criteria, which depends on the performance of the human hearing system and 3. the statistical frequency and distribution of the involved parameters. By developing models for all such information, we can optimise the system to perform efficiently. In practice, the three methods are overlapping in the sense that it is often difficult to make a clear-cut separation between them. While source modelling was already discussed in Chap.  2, this chapter reviews entropy coding methods and the associated perceptual modelling methods.

Keywords

Discrete Cosine Transform Entropy Code Differential Entropy Quantisation Accuracy Uniform Quantisation 
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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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.International Audio Laboratories Erlangen (AudioLabs)Friedrich-Alexander University Erlangen-Nürnberg (FAU)ErlangenGermany

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