LP.C. speech recognition with random reference correlation

A. Cohen, S. Beker

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


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
Issue number23
StatePublished - 6 Nov 1980


  • Speech recognition

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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