Enhanced modeling of discrete spectral amplitudes

Author

Teague, Keith A. ; Andrews, Walter ; Walls, Buddy

Author_Institution

Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA

fYear

1997

fDate

7-10 Sep 1997

Firstpage

13

Lastpage

14

Abstract

Speech coders such as those based on multiband excitation (MBE) and STC models depend on having available an accurate representation of a discrete set of significant spectral amplitudes. Normal linear predictive (LP) spectrum representations model adequately only the general spectral envelope, not individual spectral amplitudes. A technique for enhancing the accuracy of a LP spectrum representation through the use of cubic spline interpolation and amplitude compression is described. The technique is applied to a 2400 bps MBE-type coder (EMBE 2400) and shown to result in significantly lower spectral distortion than a simple LP model alone

Keywords

interpolation; linear predictive coding; signal representation; spectral analysis; speech coding; speech processing; splines (mathematics); vocoders; 2400 bit/s; LP spectrum representation; MBE models; STC models; amplitude compression; cubic spline interpolation; discrete spectral amplitudes; enhanced modeling; general spectral envelope; linear predictive spectrum representations; multiband excitation; spectral distortion; speech coders; Bit rate; Contracts; Curve fitting; Dynamic range; Equations; Frequency domain analysis; Interpolation; Predictive models; Speech analysis; Spline;

fLanguage

English

Publisher

ieee

Conference_Titel

Speech Coding For Telecommunications Proceeding, 1997, 1997 IEEE Workshop on

Conference_Location

Pocono Manor, PA

Print_ISBN

0-7803-4073-6

Type

conf

DOI

10.1109/SCFT.1997.623872

Filename

623872