Enhanced modeling of discrete spectral amplitudes

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 i...

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Bibliographic Details
Main Authors: Teague, K.A., Andrews, W., Walls, B.
Format: Conference Proceeding
Language:English
Subjects:
Bit rate
Contracts
Curve fitting
Dynamic range
Equations
Frequency domain analysis
Interpolation
Predictive models
Speech analysis
Spline
Online Access:Request full text
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Description
Summary: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.
DOI:10.1109/SCFT.1997.623872