公开(公告)号：EP1211636A1

公开(公告)日：2002-06-05

申请号：EP00830782.9

申请日：2000-11-29

Applicant: STMicroelectronics S.r.l.

Inventor： Poluzzi, Rinaldo ,  Mione, Cristoforo ,  Savi, Alberto

IPC: G06N3/04

CPC classification number: G06K9/0051 ,  G06N3/0436

Abstract: The filtering device (80) comprises a neuro-fuzzy filter (1; 80) and implements a moving-average filtering technique in which the weights for final reconstruction of the signal ( oL 3 ( i )) are calculated in a neuro-fuzzy network (3) according to specific fuzzy rules. The fuzzy rules operate on three signal features ( X 1( i ), X 2( i ), X 3( i )) for each input sample ( e ( i )). The signal features are correlated to the position of the sample in the considered sample window, to the difference between a sample and the sample at the center of the window, and to the difference between a sample and the average of the samples in the window. The filter device for the analysis of a voice signal comprises a bank of neuro-fuzzy filters (86, 87). The signal is split into a number of sub-bands, according to wavelet theory, using a bank of analysis filters including a pair of FIR QMFs ( H 0 , H 1 ) and a pair of downsamplers (85, 86); each sub-band signal is filtered by a neuro-fuzzy filter (86, 87), and then the various sub-bands are reconstructed by a bank of synthesis filters including a pair of upsamplers (88, 89), a pair of FIR QMFs ( G 0 , G 1 ), and an adder node (92).

Abstract translation: 过滤装置（80）包括一个神经模糊过滤器（1; 80），并实现移动平均滤波技术，其中用于信号的最终的重建（OL3（i））的权重的神经模糊网络计算（ 3）雅丁具体模糊规则。 模糊规则对三个信号特征（X1（i）中，X2（i）中，X3（i））的每一个输入样本（E（i））的操作。 所述信号特征是相关的，以在所考虑的样品窗口中的样本的位置，到样品，并在该窗口的中心的样本之间的差值，以及在样品和样品中的窗口的平均之间的差。 用于语音信号的分析的过滤器装置包括神经模糊滤波器（86，87）的一组。 的信号被分成多个子频带，gemäß的小波理论，使用分析滤波器包括一对FIR QMFs（H0，H1）的一组和一对向下取样器（85，86）; 每个子带信号由神经模糊滤波器（86，87）过滤，并通过合成滤波器包括一对的银行，则各个子带重构上采样器（88，89），一对FIR QMFs的 （G0，G1），以及加法器节点（92）。