|
KMID : 0917520070140020105
|
|
Journal of Speech Sciences
2007 Volume.14 No. 2 p.105 ~ p.114
|
|
|
Performance Enhancement of Speaker Identification in Noisy Environments by Optimization Membership Function Based on Particle Swarm
|
|
Min So-Hee
Song Min-Gyu
Na Seung-You
Kim Jin-Young
|
|
|
Abstract
|
|
|
|
The performance of speaker identifier is severely degraded in noisy environments. A study suggested the concept of observation membership for enhancing performances of speaker identifier with noisy speech [1]. The method scaled observation probabilities of input speech by observation identification values decided by SNR. In the paper [1], the authors suggested heuristic parameter values for membership function. In this paper we attempt to apply particle swarm optimization (PSO) for obtaining the optimal parameters for speaker identification in noisy environments. With the speaker identification experiments using the ETRI database we prove that the optimization approach can yield better performance than using only the original membership function.
|
|
|
KEYWORD
|
|
|
Speaker identification, membership function, particle swarm optimization
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|
|