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

Tang Kun; Cui Huijuan; Liu Zhiyong; Feng Zhongxi

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

更新时间：2025-12-08

- High Quality 4kb/s FS ACELP Speech Coding Algorithm and Its Properties
- Acta Electronica Sinica Issue 8, (1999)
- 作者机构：
  
  清华大学电子工程系
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN912.32
- Published：1999
- 稿件说明：
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[1]唐昆,崔慧娟,刘志勇,冯重熙.高质量4kb/sFS-ACELP语音编码算法及性能[J].电子学报,1999(08):74-78.

Tang Kun, Cui Huijuan, Liu Zhiyong, et al. High Quality 4kb/s FS ACELP Speech Coding Algorithm and Its Properties[J]. Acta Electronica Sinica, 1999, (8).
[1]唐昆,崔慧娟,刘志勇,冯重熙.高质量4kb/sFS-ACELP语音编码算法及性能[J].电子学报,1999(08):74-78. DOI：

Tang Kun, Cui Huijuan, Liu Zhiyong, et al. High Quality 4kb/s FS ACELP Speech Coding Algorithm and Its Properties[J]. Acta Electronica Sinica, 1999, (8). DOI：

摘要

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／ｓＦＳＡＣＥＬＰ的合成语音质量超过了北美８ｋｂ／ｓＶＳＥＬＰ，接近Ｇ７２９８ｋｂ／ｓＣＳＡＣＥＬＰ，ＭＯＳ分约为３９．

Abstract

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.

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Related Author

YANG Wan-xia

YU Hui

HU Ping

Related Institution

College of Technology, Gansu Agricultural University

Department of Electronic Engineering, Tsinghua University

Institute for Science and Network Space Sciences

College of Technology Gansu Agricultural University Lanzhou Gansu China

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