A Robust Approach For Acoustic Noise Suppression In Speech Using ANFIS

[1] MARTINEK, R.—ZIDEK, J. : Use of Adaptive Filtering for Noise Reduction in Communication systems, In Conference Proceeding: The International Conference Applied Electronics (AE), Pilsen, Czech Republic. 8-9 September 2010, pp. 215–220.Search in Google Scholar

[2] MARTINEK, R.—ZIDEK, J. : A System for Improving the Diagnostic Quality of Fetal Electrocardiogram, Przeglad Elektrotchniczny (Electrical Review) R 88 No. 5b (May 2012), 164–173.Search in Google Scholar

[3] CASTILLO, O.—MELIN, P. : Type 2 Fuzzy Logic: Theory and Applications, 2008.10.1007/978-3-540-76284-3Search in Google Scholar

[4] SHUKLA, A.—TIWARI, R.-KALA, R: Towards Hybrid and Adaptive Computing, 1st Edition, 2010.10.1007/978-3-642-14344-1Search in Google Scholar

[5] ROBERTS, M. J : Signals and Systems: Analysis Using Transform Methods and MATLAB, The McGraw-Hill Companies, USA, 2008.Search in Google Scholar

[6] HAYKIN, S : Adaptive Filter Theor. 4th, Prentice Hall, New Jersey, 2001.Search in Google Scholar

[7] BLANCHET, G.—CHARBIT, M: Digital Signal and Image Processing using MATLAB®, ISTE USA, Newport Beach, CA 92663, USA, 2006.10.1002/9780470612385Search in Google Scholar

[8] WENNA, L.—PEIFENG, W.—YANG, L : A Method of Adaptive Colored Noise Cancellation Based on ANFIS, International Conference on Image Analysis and Signal Processing, 2009, IASP 2009, Taizhou, pp. 386–388.Search in Google Scholar

[9] MIRY, M. H.—KHLEAF, H. K: Adaptive Noise Cancellation for Speech Employing Fuzzy and Neural Network, 1-st International Conference on Energy, Power and Control (EPC-IQ), 2010, pp. 289–296.Search in Google Scholar

[10] ITU-T Test Signals for Telecommunication Systems, ITU-T P. 501, http://www.itu.int/en/Pages/default.aspx.Search in Google Scholar

[11] ITU-T Recommendation P.34 was revised by the ITU-T Study Group XII (1988-1993) and was approved by the WTSC (Helsinki, March 1-12, 1993), http://www.itu.int/net/itu-t/sigdb/genaudio..Search in Google Scholar

[12] REYES, J. A. T.—HERNANDEZ, E. E.—GARCIA, J. C. S : DSP-Based Oversampling Adaptive Noise Canceller for Background Noise Reduction for Mobile Phones, International Conference on Electrical Communications and Computers (CONIELECOMP), 2012, MathWorks, Cholula, Puebla, pp. 327–332.Search in Google Scholar

[13] Matlab R2012b — Adaptive Noise Cancellation, Demonstration of Adaptive Nonlinear Noise Cancellation using the Fuzzy Logic Toolbox^TM Functions ANFIS and GENFIS1, http://www.mathworks.com/products/fuzzy-logic/examples.html.Search in Google Scholar

[14] MathWorks, Matlab R2012b – Fuzzy Logic Toolbox, http://www.mathworks.com/help/fuzzy/index.html..Search in Google Scholar

[15] MathWorks, Matlab R2012b – genfis1 and anfis – Generate Fuzzy Inference System structure from Data using Grid Partition, http://www.mathworks.com/help/fuzzy/genfis1.html..Search in Google Scholar

[16] KURIAN, C. P. et al : ANFIS Model for the Time Series Prediction of Interior Daylight Illuminance, International Journal on Artificial Intelligence and Machine Learning No. 6.3 (2006), 35–40.Search in Google Scholar

[17] JANG, J.-S. R: Fuzzy Modeling Using Generalized Neural Networks and Kalman Filter Algorithm, Proc. of the Ninth National Conf. on Artificial Intelligence (AAAI-91), July 1991, pp. 762–767.Search in Google Scholar

[18] JANG, J.-S. R. ANFIS: Adaptive-Network-based Fuzzy Inference Systems : IEEE Transactions on Systems, Man, and Cybernetics 23 No. 3 (May 1993), 665–685.10.1109/21.256541Search in Google Scholar

[19] VASEGHI, S. V. : Advanced Digital Signal Processing and Noise Reduction, 4 edition, John Wiley & Sons Inc (E), 2008.Search in Google Scholar

[20] STAVROULAKIS, P (editor) : Neuro-Fuzzy and Fuzzy-Neural Applications in Telecommunications (Signals and Communication Technology), Springer (24 Mar 2004).10.1007/978-3-642-18762-9Search in Google Scholar

[21] ZAFAR, Z.—JAVED, A.—ZAID, S : Autopilot System for an Unmanned Aerial Vehicle (UAV): Adaptive Neuro Fuzzy Inference Based Control System. LAP, Lambert Academic Publishing (10 Mar 2011).Search in Google Scholar

[22] PATEL, J.—GIANCHANDANI, R: ANFIS Control for Robotic Manipulators: Adaptive Neuro Fuzzy Inference Systems for Intelligent Control, LAP Lambert Academic Publishing (25 Nov 2011).Search in Google Scholar

[23] KONDOZ, A. M: Digital Speech: Coding for Low Bit Rate Communication Systems, 2nd Edition (24 Sep 2004), Wiley-Blackwell.10.1002/0470870109Search in Google Scholar

[24] HIRSH, H. G.—FINSTER, H. : The Simulation of Realistic Acoustic Input Scenarios for Speech Recognition Systems, Interspeech conference, Lisbon, Portugal, 2005, pp. 2697–2700.10.21437/Interspeech.2005-263Search in Google Scholar

[25] MAKINO, S.—KANEDA, Y.—KOIYUMI, N. : Exponentially Weighted Step-Size NLMS Adaptive Filter Based on the Statistics of a Room Impulse Response, IEEE Trans. Speech and Audio Processing 1 No. 1 (1993), 101–108.10.1109/89.221372Search in Google Scholar

[26] SILZLE, A.—NOVO, P.—STRAUSS, H. : IKA-SIM: A System to Generate Auditory Virtual Environments, 116th Convention of the Audio Engineering Society, Berlin, Germany, 2004.Search in Google Scholar

[27] PROAKIS, J. G.—MANOLAKIS, D. K. : Digital Signal Processing: Principles, Algorithms, and Applications, 4 edition (15 Feb 2006), Pearson.Search in Google Scholar

[28] MARTINEK, R.—ZIDEK, J. : Refining the Diagnostic Quality of the Abdominal Fetal Electrocardiogram using the Techniques of Artificial Intelligence, Przeglad Elektrotchniczny (Electrical Review) 88 No. 12b (2012), 155–160.Search in Google Scholar

[29] MARTINEK, R.—ZIDEK, J. : The Real Implementation of NLMS Channel Equalizer into the System of Software Defined Radio, Advances in Electrical and Electronic Engineering 10 No. 5 (Dec 2012), 330–336.10.15598/aeee.v10i5.693Search in Google Scholar

[30] VANUS, J.—STYSKALA, V. : Application of Variations of the LMS Adaptive Filter for Voice Communications with Control System, Tehnicki Vjesnik 18 (2011), 555–580.Search in Google Scholar

[31] VANUS, J. : The Use of the Adaptive Noise Cancellation for Voice Communication with the Control System, International Journal of Computer Science and Applications 8 (2011), 54–70.Search in Google Scholar

[32] MARTINEK, R.—KELNAR, M.—KOUDELKA, P.—VANUS, J.—BILIK, P.—JANKU, P.—NAZERAN, H.—ZIDEK, J. : Enhanced Processing and Analysis of Multi-Channel Non-Invasive Abdominal Foetal ECG Signals during Labor and Delivery, Electronics Letters 51 No. 22 (Oct 2015), 1738–1740.10.1049/el.2015.2291Search in Google Scholar

[33] MARTINEK, R.—KELNAR, M.—VANUS, J.—KOUDELKA, P.—BILIK, P.—KOZIOREK, J.—ZIDEK, J. : Adaptive Noise Suppression in Voice Communication Using a Neuro-Fuzzy Inference System, In 38th International Conference on Telecommunications and Signal Processing (TSP), Prague, Czech Republic, 9-11 July 2015, pp. 382–386.10.1109/TSP.2015.7296288Search in Google Scholar

[34] MARTINEK, R.—VANUS, J.—KELNAR, M.—BILIK, P. : Control Methods of Active Power Filters Using Soft Computing Techniques., In 8th International Scientific Symposium on Electrical Power Engineering (Elektroenergetika), Stara Lesna, Slovakia, 16-18 September 2015, pp. 363–366.Search in Google Scholar

[35] MARTINEK, R.—VANUS, J.—BILIK, P. : New Strategies for Application of Recursive Least Square Algorithm in Active Power Filters, In 8th International Scientific Symposium on Electrical Power Engineering (Elektroenergetika), Stara Lesna, Slovakia, 16-18 September 2015, pp. 344–347.Search in Google Scholar

[36] MARTINEK, R.—ZIDEK, J. : The Real Implementation of ANFIS Channel Equalizer on the System of Software-Defined Radio, IETE Journal of Research 60 No. 2 (2014), 183–193.10.1080/03772063.2014.914698Search in Google Scholar

[37] MARTINEK, R.—MANAS, J.—ZIDEK, J.—BILIK, P. : Power Quality Improvement by Shunt Active Performance Filters Emulated by Artificial Intelligence Techniques, 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013), Los Angeles, CA, USA, 1-2 July 2013, pp. 157–161.10.2991/cse.2013.37Search in Google Scholar

[38] MARTINEK, R.—KELNAR, M.—VOJCINAK, P.—KOUDELKA, P.—VANUS, J.—BILIK, P.—JANKU, P.—NAZERAN, H.—ZIDEK, J. : Virtual Simulator for the Generation of Patho-Physiological Foetal ECGs during the Prenatal Period, Electronics Letters 51 No. 22 (Oct 2015), 1744–1746.10.1049/el.2015.2222Search in Google Scholar

[39] MULLER, M. : Dynamic Time Warping, Information Retrieval for Music and Motion (2007), 69–84.10.1007/978-3-540-74048-3_4Search in Google Scholar