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@article{144904,
        author = {SHWETA KUMARI   and Priyanka Jaiswal },
        title = {ANFIS FOR NOISE SUPPRESSION IN VOICE COMMUNICATION },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {6},
        pages = {54-60},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144904},
        abstract = {The paper contains about voice communication and different types of noise interference in voice communication. The paper proposed the adaptive noise suppression technique for noise suppression in voice communication. There were different techniques earlier used for adaptive filtration like LEAST MEAN SQUARE, KALMAN’S FILTER etc. 
In the paper we used “FUZZY LOGIC” technique for adaptive filteration.It also shows how fuzzy is advantageous than other techniques. We study the theory of adaptive filtration of noise and application of fuzzy logic. How fuzzy can be related to this topic. This paper proposes adaptive nonlinear noise cancellation using the Fuzzy Logic functions ANFIS and GENFIS1 by MATLAB. ANFIS is the Adaptive Neuro-Fuzzy training of Sugeno-type Fuzzy Inference Systems. ANFIS uses a hybrid learning algorithm to identify the membership function parameters of single-output, Sugeno type fuzzy inference systems (FIS)
},
        keywords = {Fuzzy, Noise Suppression, Voice Communication, ANFIS},
        month = {},
        }