高质量4kb/s FS-ACELP语音编码算法及性能

4kb/s有限状态代数码激励线性预测语音编码算法FS-ACELP是一种具有延时较短,合成语音质量高、算法复杂度较低的语音编码算法.在线性预测(LP)参数量化上,利用了语音帧内和帧间的相关性,对线谱对(LSP)参数使用预测式分裂式矢量量化,获得很高的量化效率.在自适应码本搜索上,采用了有限状态控制分数延时搜索的算法.在保证合成语音质量的同时,有效地降低了运算量.对于随机码本,采用了具有多模结构的代数码本,提高语音合成质量.对于激励码序列的增益,采用了预测式矢量量化,有效地提高了量化精度.经非正式听音测试,4kb/s FS-ACELP的合成语音质量超过了北美8kb/s VSELP,接近G.729 8kb/s CS-ACELP,MOS分约为3.9.

High Quality 4kb/s FS-ACELP Speech Coding Algorithm and Its Properties

kb/s Finite State Algebraic Code Excited Linear Prediction (FS ACELP) is a high quality speech coding algorithm which has shorter time delay and low calculation burden.For line spectrum pairs,this algorithm uses a high efficient split vector quantizer based on intra frame and inter frame correlations.For adaptive codebook searching,it uses a finite state fractional delay adaptive codebook which has low calculation complexity and high performance.This algorithm also uses a state controled multimode algebraic codebook and a predictive vector quantizer for gains to further improve the quality of synthesized speech.The non formal tests show that the speech quality of 4kb/s FS ACELP is much better than that of IS 54 8kb/s VSELP and near to that of G.729 8kb/s CS ACELP while the MOS score is about 3.9.