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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM31753
Volume:
8 |
4 |
Apr 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The ACO algorithm, inspired by ant behavior, is used to optimize codebooks in speech processing. This study focuses on compressing speech signals efficiently to reduce bandwidth usage. Vector Quantization, a block coding technique, is employed, utilizing codebooks generated by the Linde-Buzo-Gray (LBG) algorithm. The ACO algorithm is proposed as an optimization method for these codebooks, aiming to minimize spectral distortion. Results show that ACO-optimized codebooks reduce spectral distortion.
KEYWORDS
Publication Date
12/31/45413
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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