- Link:
- http://cscjournals.org/csc/manuscript/Journals/IJCSS/volume4/Issue6/IJCSS-318.pdf
- Collection:
-
- Subjects
- Speaker Identification Vector Quantization (VQ) Code Vectors Code Book Euclidean Distance LBG KFCG KMCG
- Creator:
- Dr. H B Kekre, Vaishali Kulkarni
- Source
- International Journal of Computer Science and Security
- Publisher
- Computer Science Journals
- Description
- In this paper, three approaches for automatic
Speaker Recognition based on Vectorquantization are proposed and
their performances are compared. Vector Quantization(VQ) is used
for feature extraction in both the training and testing phases.
Threemethods for codebook generation have been used. In the 1st
method, codebooks aregenerated from the speech samples by using the
Linde-Buzo-Gray (LBG) algorithm. Inthe 2nd method, the codebooks
are generated using the Kekre’s Fast CodebookGeneration (KFCG)
algorithm and in the 3rd method, the codebooks are generatedusing
the Kekre’s Median Codebook Generation (KMCG) algorithm. For
speakeridentification, the codebook of the test sample is similarly
generated and compared withthe codebooks of the reference samples
stored in the database. The results obtainedfor the three methods
have been compared. The results show that KFCG gives betterresults
than LBG, while KMCG gives the best results.
- Source
- International Journal of Computer Science and
Security
- Access:
- Instructions in case access is denied
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