Computer Science – Sound
Scientific paper
2009-09-03
International Journal of Computer Science and Information Security, IJCSIS, Vol. 4, No. 1 & 2, August 2009, USA
Computer Science
Sound
5 Pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS 2009, ISSN 1947 5500, Impact f
Scientific paper
In this paper, a novel method of designing a codebook for noise robust speaker identification purpose utilizing Genetic Algorithm has been proposed. Wiener filter has been used to remove the background noises from the source speech utterances. Speech features have been extracted using standard speech parameterization method such as LPC, LPCC, RCC, MFCC, (delta)MFCC and (delta)(delta) MFCC. For each of these techniques, the performance of the proposed system has been compared. In this codebook design method, Genetic Algorithm has the capability of getting global optimal result and hence improves the quality of the codebook. Comparing with the NOIZEOUS speech database, the experimental result shows that 79.62 percent accuracy has been achieved.
Islam Rabiul Md.
Rahman Fayzur Md.
No associations
LandOfFree
Codebook Design Method for Noise Robust Speaker Identification based on Genetic Algorithm does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Codebook Design Method for Noise Robust Speaker Identification based on Genetic Algorithm, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Codebook Design Method for Noise Robust Speaker Identification based on Genetic Algorithm will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-663710