DocumentCode
1439192
Title
LPC interpolation by approximation of the sample autocorrelation function
Author
Erkelens, Jan S. ; Broersen, P.M.T.
Author_Institution
Fac. of Inf. Technol. & Syst., Delft Univ. of Technol.
Volume
6
Issue
6
fYear
1998
fDate
11/1/1998 12:00:00 AM
Firstpage
569
Lastpage
573
Abstract
Conventionally, the energy of analysis frames is not taken into account for linear prediction (LPC) interpolation. Incorporating the frame energy improves the subjective quality of interpolation, but increases the spectral distortion (SP). The main reason for this discrepancy is that the outliers are increased in low energy parts of segments with rapid changes in energy. The energy is most naturally combined with a normalized autocorrelation representation
Keywords
correlation methods; function approximation; interpolation; linear predictive coding; signal representation; signal sampling; speech coding; LPC interpolation; analysis frame energy; linear prediction coding; normalized autocorrelation representation; outliers; sample autocorrelation function approximation; spectral distortion; speech coding; subjective quality; Autocorrelation; Bit rate; Filters; Interpolation; Linear predictive coding; Signal analysis; Speech analysis; Speech coding; Speech synthesis; Stability;
fLanguage
English
Journal_Title
Speech and Audio Processing, IEEE Transactions on
Publisher
ieee
ISSN
1063-6676
Type
jour
DOI
10.1109/89.725323
Filename
725323
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