Dicionário Estocástico Multipulso para Codificadores CELP<br />DOI: 10.14209/jcis.1998.3
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Abstract
This paper presents a new algorithm to design codebooks of sparse vectors for code excited linear prediction (CELP) speech encoders. The algorithm is based on multipulse excitations and on the LBG codebook training algorithm. The codebooks, which are referred to as multi pulse (MP) codebooks, have the inherent advantages of sparse codebooks. Moreover, they can be optimized by a closed-loop training procedure. We present a comparative analysis of the MP codebook with vector-sum (VS) and Gaussian codebooks. Simulation results show that the MP codebook yields the best performance in terms of speech quality. Complexities of these codebooks are also compared.
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How to Cite
Martins da Silva, L., & Alcaim, A. (2015). Dicionário Estocástico Multipulso para Codificadores CELP<br />DOI: 10.14209/jcis.1998.3. Journal of Communication and Information Systems, 13(2). Retrieved from https://jcis.sbrt.org.br/jcis/article/view/194
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Regular Papers
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