语音编码中的卡尔曼滤波技术

[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1992-03-23 DOI:10.1109/ICASSP.1992.225968

S. Crisafulli, J. D. Mills, R. Bitmead

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引用次数: 31

摘要

研究了卡尔曼滤波技术在语音编码中的应用。作者证明了共同线性预测器(LP)是基于全极信号模型的KF的一种特殊情况。他们还表明，KF算法在没有额外复杂性的情况下提供固定滞后平滑。仿真结果表明，基于KF的语音编码比等效的基于LP的系统具有显著的优势，特别是在使用粗量化测量时。

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Kalman filtering techniques in speech coding

The use of Kalman filtering (KF) techniques in speech coding is investigated. The authors show that the common linear predictor (LP) is a special case of the KF based on an all-pole signal model. They also show that the KF algorithm provides fixed-lag smoothing at no additional complexity. Simulation results reveal that KF based speech coding has significant advantage over the equivalent LP based systems, particularly when used with coarsely quantized measurements.<>

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[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing

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