Speaker verification based on the orthogonalisation technique

A. Ariyaeeinia, P. Sivakumaran

Research output: Chapter in Book/Report/Conference proceedingConference contribution

35 Downloads (Pure)


This paper describes an investigation into text dependent speaker verification using orthogonal feature: parameters of speech. The study is based on the use of a subset of the BT Millar speech database, consisting of repetitions of digit utterances 1 to 9 and zero spoken by 20 male speakers. Sets of orthogonal parameters are obtained through a linear transformation of linear prediction, parcor, and cepstrum coefficients. It is demonstrated that amongst these, orthogonal cepstruml parameters possess the highest speaker discrimination ability. Based on the experimental results it is shown that for single-digit inputs, a minimum equal error rate of about 4% in verification can be achieved. This error rate is found to reach 0.95% when a sequence of five digits is used as the input. The experiments are discussed in detail, and an analysis of the results is presented.
Original languageEnglish
Title of host publicationIn: Procs of the IEE European Convention on Security and Detection, 1995 (ECOS '95)
ISBN (Print)0-85296-640-7
Publication statusPublished - 1995


Dive into the research topics of 'Speaker verification based on the orthogonalisation technique'. Together they form a unique fingerprint.

Cite this