Linear Prediction

Jacob Benesty; Jingdong Chen; Yiteng Arden Huang

doi:10.1007/978-3-540-49127-9_7

Linear Prediction

Jacob Benesty, Jingdong Chen, Yiteng Arden Huang

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

23 Scopus citations

Abstract

Linear prediction linear prediction (LP) plays a fundamental role in all aspects of speech. Its use seems natural and obvious in this context since for a speech signal the value of its current sample can be well modeled as a linear combination of its past values. In this chapter, we attempt to present the most important ideas on linear prediction. We derive the principal results, widely recognized by speech experts, in a very intuitive way without sacrificing mathematical rigor.

Original language	English
Title of host publication	Springer Handbooks
Publisher	Springer
Pages	121-134
Number of pages	14
DOIs	https://doi.org/10.1007/978-3-540-49127-9_7
State	Published - 2008
Externally published	Yes

Publication series

Name	Springer Handbooks
ISSN (Print)	2522-8692
ISSN (Electronic)	2522-8706

Keywords

Cholesky Factorization
Linear Prediction
Mean Square Error
Minimum Mean Square Error
Speech Signal

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10.1007/978-3-540-49127-9_7

Cite this

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KW - Minimum Mean Square Error

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Linear Prediction

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