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Windowing and the Zero Input Response

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

Abstract

Speech processing algorithms usually segment signals into finite-length blocks or windows, since block operations are generally more efficient in terms of both bitrate and computational complexity. Speech codecs model temporal correlations with linear prediction for both coding efficiency as well as to enable smooth transitions between frames. This chapter describes this framing or windowing process based on linear prediction. A central feature of this windowing process is the zero input response of the corresponding linear predictive model, which corresponds to the smooth overlap between processing windows.

Keywords

Window Length Linear Prediction Error Energy Window Method Autocorrelation Matrix 
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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