Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 5:00 PM ET (12:00 - 21:00 UTC). We apologize for the inconvenience.
By Topic

Nearest neighbour decision rule for vowel and digit recognition

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

2 Author(s)
Raja, T. ; Indian Institute of Science, Bangalore, India ; Yegnanarayana, B.

Minimum distance to mean is usually used as a classification rule in speech and speaker recognition studies. In this paper it is shown that the nearest neighbour decision rule gives significant improvement in classification score for vowel and digit recognition schemes. Autocorrelation coefficients of lags two to five sampling instants are used to form the feature vector. Pour samples per class have been used. Minimum squared Euclidean distance of the test vector from the nearest reference is chosen as the classification rule. For sustained vowels the recognition score is cent percent. for the same feature the minimum distance to mean gives 70 % recognition score. When the reference samples of a given speaker is tested over the vowels spoken by different speaker(up to 10), this scheme gives the recognition score of about 95 %. for digits without any time warping the recognition score of about 86 % to 92 % is obtained.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '78.  (Volume:3 )

Date of Conference:

Apr 1978