Title :
PNN-based algorithm for the recognition of speakers
Author :
Fang, Ye ; Zhou, Yabin
Author_Institution :
Sch. of Electron. Inf., Xi´´an Polytech. Univ., Xi´´an, China
Abstract :
Based on analysis of the conventional speech signal identical algorithm, an improved algorithm for the speaker recognition is introduced. It is a method based on the probabilistic neural network (PNN), which uses Mel Frequency Ceptral Coefficients(MFCC) as human sound feature parameters. The experiment has shown the high accuracy of the proposed algorithm in the classification of training samples and testing samples. The experiment results also validate the effectiveness of the method.
Keywords :
neural nets; probability; speaker recognition; human sound feature; mel frequency ceptral coefficient; probabilistic neural network; speaker recognition; speech signal identical algorithm; Algorithm design and analysis; Classification algorithms; Frequency; Humans; Loudspeakers; Neural networks; Signal analysis; Speaker recognition; Speech analysis; Testing; Feature abstraction; MFCCs; PNN; Speaker recognition; Speech identification;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5273997
