شماره ركورد كنفرانس :
5455
عنوان مقاله :
Genetic Vector Quantization of Line Spectrum Frequencies in Speech Coding
پديدآورندگان :
Sharifi Zohre zsharifi@tvu.ac.ir Technical and Vocational College of Abarkuh, Yazd Branch Technical and Vocational University, Iran
تعداد صفحه :
5
كليدواژه :
Genetic Algorithms , Codebook Design , Vector Quantization , Speech Coding
سال انتشار :
1398
عنوان كنفرانس :
اولين كنفرانس ملي كسب و كار نوين در مهندسي برق و كامپيوتر
زبان مدرك :
انگليسي
چكيده فارسي :
In this paper, we study the codebook generation of Line Spectrum Frequencies (LSF) vector quantization and we consider vector quantization of LSF in code excited linear predictive (CELP) speech coder. A partition-based genetic algorithm (GA) is applied to codebook design, which is referred to as genetic vector quantization (GVQ) method in vector quantization. The performance of ACELP using the codebook obtained by the proposed algorithm is compared with that of the conjugate structured CS-ACELP-based ITU-T G.729 coder.
كشور :
ايران
لينک به اين مدرک :
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