Advanced Digital Signal Processing and Noise Reduction

A Robust Approach For Acoustic Noise Suppression In Speech Using ANFIS

“…The results of the experiments carried out by the authors [1,2] show that the basic RLS algorithm [18] is mathematically very demanding in terms of actual implementation [18]. Many studies [8,13,19] further indicate that we encounter the nonlinear nature of disturbance [4,13,21], which cannot be completely eliminated using a linear filter [1,4]. Due to the reasons discussed above, the authors focus on the use of a neuro-fuzzy system [19,20].…”

“…Many studies [8,13,19] further indicate that we encounter the nonlinear nature of disturbance [4,13,21], which cannot be completely eliminated using a linear filter [1,4]. Due to the reasons discussed above, the authors focus on the use of a neuro-fuzzy system [19,20]. A number of studies suggest [8,9,17] that such a system could achieve better results than commercially used systems.…”

“…A number of studies suggest [8,9,17] that such a system could achieve better results than commercially used systems. and r i are the design parameters which are determined during the training process [19]. The ANFIS architecture to implement these two rules is shown in Fig.…”

“…The ANFIS architecture to implement these two rules is shown in Fig. 1 [19,28] in which a circle indicates a fixed node whereas a square indicates an adaptive node. As figure illustrates, ANFIS architecture consists of five layers [19].…”

“…1 [19,28] in which a circle indicates a fixed node whereas a square indicates an adaptive node. As figure illustrates, ANFIS architecture consists of five layers [19]. The functioning of the ANFIS is described as [19,28,34]:…”