Date of Award

Summer 1984

Document Type

Thesis

Department

Electrical & Computer Engineering

Program/Concentration

Electrical Engineering

Committee Director

Stephen A. Zahorian

Committee Member

Sharad V. Kanetkar

Committee Member

Jack Stoughton

Call Number for Print

Special Collections LD4331.E55H64

Abstract

A Karhunen-Loeve series expansion was used to block encode speech spectral principal components as a function of time. Each of ten principal components was first obtained as a linear combination of 2© speech spectral band energies. Using a fixed block length of 10 frames (0.128 s), the K-L basis vectors were computed separately for various speakers for each principal component. In all cases the resulting basis vectors were essentially a set of discrete cosine basis vectors. Synthesis of speech from the block encoded parameters showed that very little information is lost with up to 70% data reduction. The block encoding techniques applied to other short-time spectral parameters yielded similar results, i.e., the resulting basis vectors were basically cosines, and significant bit-rate reduction introduced little distortion in the synthesized speech.

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DOI

10.25777/jec6-e226

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