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G.723.1语音编码器算法的聚类优化策略及其应用 被引量:4

Clustering optimization strategy for G.723.1 speech coder and its application
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摘要 在实现G 72 3 1编码器算法的基础上 ,提出了一种针对码本搜索的聚类优化策略。利用聚类分析的结果 ,对原始码本进行了分组及重构等处理 ,从而实现了快速搜索。测试及系统的实际运行情况表明 ,在使算法复杂度下降约 1 4 6MIPS的条件下 ,优化结果仍能保证解码端的音质无明显下降。 A clustering optimization strategy of codebook searching is put forward in this paper based on the realization of G 723 1 coder algorithm The result of clustering analysis is used to group and rearrange the original codebook so that a fast searching can be realized The testing and actual executing on G 723 1 coder show that its speech quality has little degradation under the condition that the algorithmic complexity is reduced by 1 46MIPS after the optimization
出处 《通信学报》 EI CSCD 北大核心 2001年第2期113-117,共5页 Journal on Communications
关键词 语音编码器 优化 聚类分析 G 723 1 speech coder optimization clustering analysis
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参考文献3

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  • 3张尧庭,多元统计分析导论,1982年

同被引文献21

  • 1陈健,沈雷.基于MLT算法的低码率宽带语音编码研究和实现[D].上海:上海交通大学电子工程系,2002.
  • 2ITU-T Rec.G.722.1,Low-complexity coding at 24 and 32 Kbit/s for hands-free operation systems with low frame loss[S].New York:Institute of Electrical and Electronic Engineers,Inc.,2005.
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  • 5KIM H K,LEE H S.Iterlacing properties of line spectrum pair frequencies[J].IEEE Transactions on Speech and Audio Processing,1999,7(1):87-90.
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  • 7MERMELSTEIN P, QIAN Y. Analysis by synthesis speech coding with generalized pitch prediction[D]. IEEE International Conference on Acoustics. Speech and Signal Processing(Volume 1), 1999,1-4.
  • 8COMBESCURE P, SCHNITZLER J. A 16,24,32 kbit/s wideband speech codec based on ATCELP[C]. IEEE International Conference on Acoustics, Speech and Signal Processing(Volume 1), 1999:5-8.
  • 9HAGEN R, EKUDDEN E. An 8 kbit/s ACELP coder with improved background noise performance[C]. IEEE International Conference on Acoustics, Speech and Signal Processing(Volume 1), 1999:25-28.
  • 10MARTIN J C D, UNNO T, VISWANATHAN V. Improved frame erasure concealment for CELP-basedCoders[J].Proceedings of IEEE ICASSP,In:Istanbul Turkey,2000,(3).1483-1486.

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