By Topic

A realtime implementation of a text independent speaker recognition system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Wrench, E., Jr. ; ITT Defense Communications Division, San Diego, Ca.

This paper describes the design and implementation of a realtime speaker recognition system. The system performs text independent, closed set speaker recognition with up to 30 talkers in realtime. In addition, the reference speech used to characterize the 30 talkers can be extracted from as little as 10 seconds of speech from each talker, and the actual recognition performed with less than one minute of speech from the unknown talker. Two speaker recognition algorithms previously developed by Markel and Pfeifer were investigated for use in the realtime system. The results of this investigation clearly show that Markel's technique is superior for applications using very short speech segments for both the speaker models and the recognition trials. Markel's technique was implemented in realtime in a high speed progranmable signal processor. A test of this implementation with a set of 30 male speakers resulted in recognition accuracies of 93-100% for models generated with only 10 seconds of speech, and recognition trials using only 10 seconds of unknown speech.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '81.  (Volume:6 )

Date of Conference:

Apr 1981