Abstract
The technique of linear prediction has been available for speech analysis since the late 1960s (Itakura & Saito, 1973a, 1970; Atal & Hanauer, 1971), although the basic principles were established long before this by Wiener (1947). Linear predictive coding, which is also known as autoregressive analysis, is a time-series algorithm that has applications in many fields other than speech analysis (see, e.g., Chatfield, 1989).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Harrington, J., Cassidy, S. (1999). Linear Prediction of Speech. In: Techniques in Speech Acoustics. Text, Speech and Language Technology, vol 8. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4657-9_8
Download citation
DOI: https://doi.org/10.1007/978-94-011-4657-9_8
Publisher Name: Springer, Dordrecht
Print ISBN: 978-0-7923-5822-0
Online ISBN: 978-94-011-4657-9
eBook Packages: Springer Book Archive