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.
fDate :
11/1/1998 12:00:00 AM
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;
Journal_Title :
Speech and Audio Processing, IEEE Transactions on
