Title :
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
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;
Conference_Titel :
Speech Coding For Telecommunications Proceeding, 1997, 1997 IEEE Workshop on
Conference_Location :
Pocono Manor, PA
Print_ISBN :
0-7803-4073-6
DOI :
10.1109/SCFT.1997.623872