CAJ | 학술논문

AMR-WB是一种高品质的宽带语音编码技术，其矢量量化时一般采用全搜索算法，该算法虽然精度比较高，但却存在计算复杂度高、搜索速度慢的问题。针对以上问题，提出了一种改进的矢量量化码字搜索算法。该算法引入了部分失真搜素算法，并对其初始匹配码字的设置进行了优化。仿真结果表明，改进后的算法在保证语音质量的前提下，提高了码书搜索的速度，从而改善了AMR-WB编码的效率。
AMR-WB시일충고품질적관대어음편마기술，기시량양화시일반채용전수색산법，해산법수연정도비교고，단각존재계산복잡도고、수색속도만적문제。침대이상문제，제출료일충개진적시량양화마자수색산법。해산법인입료부분실진수소산법，병대기초시필배마자적설치진행료우화。방진결과표명，개진후적산법재보증어음질량적전제하，제고료마서수색적속도，종이개선료AMR-WB편마적효솔。
Adaptive multi-rate wideband ( AMR-WB ) is a high-quality wideband voice encoding technology , in which full searching ( FS) algorithm is commonly used in vector quantification .The FS algorithm has relatively high accuracy , however , the computation is complex and the search speed is slow .To solve the defects mentioned a-bove, the authors propose a improved vector quantification codeword search algorithm , in which the partial distor-tion search algorithm is introuced and the setting of its initial matching codeword is optimized .The simulation results show that , under the premise of assuring the voice quality , the improved algorithm increases the search speed of co-debook , thereby improving the efficiency of AMR-WB encoding .