Title

General Purpose Representation And Association Machine Part 1: Introduction And Illustrations

Keywords

KLT; PCA; speaker recognition; Speech; Unvoiced; Voiced

Abstract

A novel analysis of the performance of the Karhunen Loeve Transform (KLT) for Voiced and Unvoiced Speech as a function of accepted industry standard speech segment sizes is presented. The speech segment sizes were chosen such that the size must be large enough to capture the properties of the process, but not so large that the signal loses its stationary properties. The energy compaction properties of the KLT are measured and presented as Cumulative Distribution Function (CDF) plots for several unique sets of Eigenvectors. Several CDFs are presented for each segment size to represent the results of each unique set of Eigenvectors. CDFs for DCT and Haar transforms are also presented to serve as a baseline for comparison purposes. The CDF plots not only demonstrate the point of diminishing returns for using the KLT over the DCT or Haar transforms, but also indicate a strong case for a KLT based approach for the purposes of speaker recognition. © 2012 IEEE.

Publication Date

5-31-2012

Publication Title

Conference Proceedings - IEEE SOUTHEASTCON

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/SECon.2012.6196968

Socpus ID

84861501399 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84861501399

This document is currently not available here.

Share

COinS