By Topic

An improved isolation word recognition system based upon the linear prediction residual

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
$33 $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

2 Author(s)
M. Coker ; E.S.L. Inc., Sunnyvale, California ; S. Boll

The linear prediction residual has been shown to be an effective technique for isolated word recognition. This paper develops a new spectral interpretation of this method for waveform matching, describes how the accuracy of such a system can be increased by training on multiple repetitions of the reference vocabulary, and how both the reference parameter storage requirements and computation rate can be reduced in half by omitting redundant speech information. Results of experiments vary from a low of 88% when the vocabulary consisted of 25 pairs of rhyming words differing only by the initial consonant sound, to a high of 98.1% when the vocabulary consisted of 107 flight commands having an average of two syllables per word.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '76.  (Volume:1 )

Date of Conference:

Apr 1976