Two Statistical Feature Evaluation Techniques Applied to Speaker Identification

1 September 1971

journal article
Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Computers

Vol. C-20 (9) , 979-987
https://doi.org/10.1109/T-C.1971.223392

Abstract

The problem of identifying people based solely upon samples of their speech is viewed as a statistical pattern classification problem, emphasizing the portion of the process in which an informative, concise set of features is extracted from the speech signal. This work takes into account both the limited amount of data available in a real application and the statistical dependence among the various proposed features. In addition, the results of feature evaluation should apply to speakers not involved in the evaluation set.

Keywords

IDENTIFICATION
CLASSIFICATION
SPEECH
CONCISE
FEATURE EVALUATION
SPEAKERS
ACCOUNT
TAKES
SOLELY
CLASSIFICATION
IDENTIFICATION
APPLIED TO SPEAKER