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Residual Coding

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

Abstract

The spectral envelope and fundamental frequency of a speech signal is generally modelled by linear, short- and long-term predictive synthesis filters. The residual from these two filters is a signal without almost any temporal correlation. In this section we describe modelling and optimisation of the residual quantisation. The most famous approach is algebraic coding, which has also given the name to algebraic code-excited linear prediction (ACELP). It assumes that the residual signal follows the Laplace distribution and provides an enumeration method, the algebraic code, with which every possible quantisation can be encoded.

Keywords

Vocal Tract Laplacian Distribution Uncorrelated Noise Pulse Position Codebook Size 
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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