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A Methodology and a System for Adaptive Speech Recognition in a Noisy Environment Based on Adaptive Noise Cancellation and Evolving Fuzzy Neural Networks [chapter]

Nikola Kasabov, Georgi Iliev
2000 Neuro-Fuzzy Pattern Recognition  
The method and system are based on novel techniques recently created by the authors, namely: adaptive noise suppression, and evolving connectionist systems.  ...  This chapter is concerned with a method and a system for adaptive speech recognition in a noisy environment (ASN).  ...  A Self-Optimised Learning Algorithm for Evolving Fuzzy Neural Networks The basic EFuNN algorithm, to evolve EFuNNs from incoming examples, is further developed and improved as a method for adaptive learning  ... 
doi:10.1142/9789812792204_0008 fatcat:xoiblpotmvfmvosxm2dw3gjcmu

A Robust Approach For Acoustic Noise Suppression In Speech Using ANFIS

Radek Martinek, Michal Kelnar, Jan Vanus, Petr Bilik, Jan Zidek
2015 Journal of Electrical Engineering  
This structure used is called an Adaptive Neuro Fuzzy Inference System (ANFIS).  ...  Experimental methods based on the two-input adaptive noise cancellation concept was clearly outlined.  ...  Due to the reasons discussed above, the authors focus on the use of a neuro-fuzzy system [19, 20] .  ... 
doi:10.2478/jee-2015-0050 fatcat:hmlukza4qfhg5dzhfrey5wlbl4

Sensor Networks for Aerospace Human-Machine Systems

Pongsakornsathien, Lim, Gardi, Hilton, Planke, Sabatini, Kistan, Ezer
2019 Sensors  
(ATM), commercial airliner Single-Pilot Operations (SIPO), one-to-many Unmanned Aircraft Systems (UAS), and space operations management.  ...  machine learning-based inference engine.  ...  Neuro-Fuzzy Networks Neural fuzzy systems allow the structure of fuzzy inference systems to be expressed as a neural network.  ... 
doi:10.3390/s19163465 pmid:31398917 pmcid:PMC6720637 fatcat:u5sow3lrkfczja44xo6hfnvfey

Optimum multi-target detection using an ANC neuro-fuzzy scheme and wideband replica correlator

Chien-Hsun Tseng, Marina Cole
2009 2009 IEEE International Conference on Acoustics, Speech and Signal Processing  
The hybrid algorithm makes use of an adaptive ANC neuro-fuzzy scheme in the first instance to provide an effective fine tuned signal followed by an iterative cross correlation-based target motion estimation  ...  Computer simulations based on real input data sets demonstrate capability and efficiency of the proposed hybrid algorithm in extracting even zero-Doppler target signals from a highly reverberated noisy  ...  neuro-fuzzy inference systems (ANFIS).  ... 
doi:10.1109/icassp.2009.4959847 dblp:conf/icassp/TsengC09 fatcat:kwtm7q45zrgbzjyp66m22k5ghm

The M2DC Project: Modular Microserver DataCentre

Mariano Cecowski, Giovanni Agosta, Ariel Oleksiak, Michal Kierzynka, Micha vor dem Berge, Wolfgang Christmann, Stefan Krupop, Mario Porrmann, Jens Hagemeyer, Rene Griessl, Meysam Peykanu, Lennart Tigges (+13 others)
2016 2016 Euromicro Conference on Digital System Design (DSD)  
on Lorenz chaotic system 2002 [126] Image processing PAL TV ghost canceller FIR filter 2002 [127] Communication Real-time calibration for digital beamforming 2002 [128] Cryptography Improvement  ...  on a recursive unitary ESPRIT algorithm 2004 [214] Networks Digital transmitter for OFDM based WLAN systems 2004 [215] Neuro-computing TotemNC3003 Twinchip 2004 [216] Neuro-computing Spiking  ... 
doi:10.1109/dsd.2016.76 dblp:conf/dsd/CecowskiAOKBCKP16 fatcat:bu4nbkqaejebjafrotibui6mkq

On stabilization of gradient-based training strategies for computationally intelligent systems

M.O. Efe, O. Kaynak
2000 IEEE transactions on fuzzy systems  
A standard fuzzy system is chosen as the controller in which the adaptation is carried out only on the defuzzifier parameters.  ...  This paper develops a novel training methodology for computationally intelligent systems utilizing gradient information in parameter updating.  ...  [4] propose an adaptive neuro-fuzzy inference system in which a polynomial is used as the defuzzifier. This structure is commonly referred to as ANFIS in the related literature.  ... 
doi:10.1109/91.873579 fatcat:qa7xv6fcr5aj5o63pgplvileay

A Decade of Kasabov's Evolving Connectionist Systems: A Review

M.J. Watts
2009 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
A decade on, the number of ECoS algorithms, and the problems to which they have been applied, have multiplied.  ...  Evolving connectionist Systems (ECoS) are a family of constructive artificial neural network algorithms that were first proposed by Kasabov in 1998, where 'evolving' in this context means "changing over  ...  The goal of this paper was to test a speech de-noising method in an in-car environment. A noise-cancellation approach was also demonstrated in [83] , where the speech recognition was done by EFuNN.  ... 
doi:10.1109/tsmcc.2008.2012254 fatcat:zqozz7v3wza7voylgofytyrgpa

Load Forecasting Techniques for Power System: Research Challenges and Survey

Naqash Ahmad, Yazeed Ghadi, Muhammad Adnan, Mansoor Ali
2022 IEEE Access  
This comparison validates the fact that the hybrid forecasting models will provide a more optimal solution.  ...  i).NEURO-FUZZY (NF) Neuro Fuzzy was introduced by J.S.R Jang [297] .  ...  FUZZY RULE BASE SYSTEM (FRBS) The important application of fuzzy logic or fuzzy set is the fuzzy rule base system.  ... 
doi:10.1109/access.2022.3187839 fatcat:efyh2vr5rnayja33salmeaqwum

Computational intelligence in processing of speech acoustics: a survey

Amitoj Singh, Navkiran Kaur, Vinay Kukreja, Virender Kadyan, Munish Kumar
2022 Complex & Intelligent Systems  
However, a limited number of automatic speech recognition systems are available for commercial use.  ...  This paper presents a comprehensive survey on the speech recognition techniques for non-Indian and Indian languages, and compiled some of the computational models used for processing speech acoustics.  ...  Srijiranon and Eiamkanitchat [312] followed a Neuro-Fuzzy approach to recognize Thai speech.  ... 
doi:10.1007/s40747-022-00665-1 fatcat:6pu2xccbq5as7bn2y2tav2fdwa

Welcome Messages

2019 2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)  
The developed H-BTC database comprises of 30K images comprising of the five types of H-BTC images in which three categories are constructed based on digital halftoning and two types are based on digital  ...  Abstract-Halftone based block truncation coding images (H-BTC) are the improved version of BTC images which can offer superior representation and enhanced image quality.  ...  In the stress evaluation, we employ a fuzzy reasoning technique. The proposed method creates membership functions for fuzzy reasoning based on the changes in height during experiments.  ... 
doi:10.1109/ispacs48206.2019.8986291 fatcat:gu4zaxsqkncp5n2ebj5fybk7ce

FPGA Design Methodology for Industrial Control Systems—A Review

E. Monmasson, M.N. Cirstea
2007 IEEE transactions on industrial electronics (1982. Print)  
This paper reviews the state of the art of Field Programmable Gate Array (FPGA) design methodologies with a focus on Industrial Control System applications.  ...  An overview of contributions and limits of FPGAs is also given, followed by a short survey of FPGA-based intelligent controllers for modern industrial systems.  ...  Naouar for their research on some of the case studies presented.  ... 
doi:10.1109/tie.2007.898281 fatcat:l3f72ougkbbzzc4vo7sgogw2ku

Artificial Intelligence Aided Electronic Warfare Systems-Recent Trends and Evolving Applications

Purabi Sharma, Kandarpa Kumar Sarma, Nikos Mastorakis
2020 IEEE Access  
Hence, fuzzy modelling is often combined with other techniques to form hybrid systems, e.g., neuro-fuzzy systems, which is a combination of neural network and fuzzy system.  ...  Thereafter to further improve the performance of recognition rate, feature fusion algorithm based on SAE is developed to get the more essential expression of feature.  ... 
doi:10.1109/access.2020.3044453 fatcat:iuwn6w4uvbgdhlkiucg3sjadme

Wheelchair and Virtual Environment Trainer by Intelligent Control [chapter]

Pedro Ponce, Arturo Molina, Rafael Mendoz
2012 Fuzzy Controllers- Recent Advances in Theory and Applications  
Acknowledgement This work is supported by NEDO Japan (New Energy and Industrial Technology Development Organization) project on "Intelligent RT Software Project".  ...  The voice controller increases the accuracy; if the wheelchair needs to work in a noisy environment, a noise cancelation system has to be included.  ...  Neuro-Fuzzy systems have the advantage over Fuzzy systems that the acquired knowledge is easy to understand -more meaningful-to humans.  ... 
doi:10.5772/48410 fatcat:dkdrc2gxozcrff554trwsdkomi

Automatic Speech Recognition: Systematic Literature Review

Sadeen Alharbi, Muna Alrazgan, Alanoud Alrashed, Turkiah AlNomasi, Raghad Almojel, Rimah Alharbi, Saja Alharbi, Sahar Alturki, Fatimah Alshehri, Maha Almojil
2021 IEEE Access  
In [26] , the authors proposed a speech recognition evaluation method for dysarthric speech recognition systems using an adaptive neuro-fuzzy inference system (ANFIS).  ...  The proposed system automatically determines how to enhance speech quality based on the signal-to-noise ratio (SNR).  ...  proposed semi-supervised speech enhancement methods based on NMF or MNMF with a DNN based before speech spectra. 2019 [19] They proposed for future work to feed the extracted target speech as the anchor  ... 
doi:10.1109/access.2021.3112535 fatcat:uhyhmyd6b5d2lldkhf6tihnxky

Tool Condition Monitoring Using Spectral Subtraction Algorithm and Artificial Intelligence Methods in Milling Process

Fatemeh Aghazadeh, Antoine Tahan, Marc Thomas
2017 International Journal of Mechanical Engineering and Robotics Research  
Based on this method, the average signal spectrum of a healthy case is subtracted from all the signals with the same cutting parameters.  ...  After further processing and noise reduction, fault features and indicators are extracted from the results of the processed signal.  ...  Further noise canceling and signal refinement is performed after spectral subtraction step. Kurtogram analysis based on the approach of Antoni et al.  ... 
doi:10.18178/ijmerr.7.1.30-34 fatcat:rbdalpvf6ba7lo5rwhg7vtxs2y
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