摘要
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.
Adaptive multi-rate wideband （AMR-WB） is which full searching （FS） algorithm is commonly used in accuracy, however, the computation is complex and the a high-quality wideband voice encoding technology, in vector quantification. The FS algorithm has relatively high 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.
出处
《应用科技》
CAS
2013年第6期72-75,共4页
Applied Science and Technology
关键词
宽带语音编码
AMR-WB
矢量量化
部分失真算法
wideband voice encoding
AMR-WB
vector quantification
partial distortion algorithm
