LP.C. speech recognition with random reference correlation

A. Cohen, S. Beker

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

A correlation estimation algorithm, based on random reference correlation (r.r.c), is applied to the problem of speech recognition. The inherent ill-conditioning of the estimated autocorrelation matrix is dealt with by pre-emphasis and ridge regression. Distance measures are defined and used to characterise the performance of the recognition. Results with the ten-digit dictionary show that the new method is comparable with the conventional one in terms of recognition performance but much more efficient in terms of implementation.

Original languageEnglish
Pages (from-to)885-886
Number of pages2
JournalElectronics Letters
Volume16
Issue number23
DOIs
StatePublished - 6 Nov 1980

Keywords

  • Speech recognition

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'LP.C. speech recognition with random reference correlation'. Together they form a unique fingerprint.

Cite this