Applications of a nonlinear smoothing algorithm to speech processing
Applications of a nonlinear smoothing algorithm to speech processing
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非线性平滑算法在语音处理中的应用
DOI：
10.1109/tassp.1975.1162749
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发表时间：
1975
期刊：
影响因子：
--
通讯作者：
C. E. Schmidt
中科院分区：
文献类型：
--
作者：
R. Rabiner;Senior Member;M. Sambur;C. E. Schmidt
本文描述了Tukey最近提出的一种非线性平滑算法，并对其在语音处理中的应用进行了评价。简单的线性平滑程序通常不能为表现出局部粗糙度和尖锐不连续性的数据提供足够的平滑。提出的非线性平滑算法可以有效地平滑这样的数据，通过使用中值平滑例程和线性滤波相结合。作为对平滑算法的改进，引入了双平滑的概念。文中还列举了非线性平滑方法在典型语音参数上的应用实例。
In this paper a nonlinear smoothing algorithm recently proposed by Tukey is described and evaluated for speech processing applications. Simple linear smoothing routines generally fail to provide adequate smoothing for data which exhibit both local roughness and sharp discontinuities. The proposed nonlinear smoothing algorithm can effectively smooth such data by using a combination of median smoothing routines and linear filtering. The concept of double smoothing is introduced as a refinement on the smoothing algorithm. Examples of the application of the nonlinear smoothing methods to typical speech parameters are included in this paper.