The Performance Analysis of Digital Filters and ANN in De-noising of Speech and Biomedical Signal

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Humayra Ferdous 1 Sarwar Jahan 2 Fahima Tabassum 3,* Md. Imdadul Islam 1

1. Department of Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka-1342

2. Department of Electronics and Communications Engineering, East West University, Aftabnagar, Dhaka-1212

3. Institute of Information Technology, Jahangirnagar University, Savar, Dhaka-1342

* Corresponding author.


Received: 9 Apr. 2022 / Revised: 13 Jun. 2022 / Accepted: 15 Aug. 2022 / Published: 8 Feb. 2023

Index Terms

LMS, process time, error histogram, DWT and SNR.


A huge number of algorithms are found in recent literature to de-noise a signal or enhancement of signal. In this paper we use: static filters, digital adaptive filters, discrete wavelet transform (DWT), backpropagation, Hopfield neural network (NN) and convolutional neural network (CNN) to de-noise both speech and biomedical signals. The relative performance of ten de-noising methods of the paper is measured using signal to noise ratio (SNR) in dB shown in tabular form. The objective of this paper is to select the best algorithm in de-noising of speech and biomedical signals separately. In this paper we experimentally found that, the backpropagation NN is the best for de-noising of biomedical signal and CNN is found as the best for de-noising of speech signal, where the processing time of CNN is found three times higher than that of backpropagation.

Cite This Paper

Humayra Ferdous, Sarwar Jahan, Fahima Tabassum, Md. Imdadul Islam, "The Performance Analysis of Digital Filters and ANN in De-noising of Speech and Biomedical Signal", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.15, No.1, pp. 63-78, 2023. DOI:10.5815/ijigsp.2023.01.06


[1]Syed Omer Gilani, Yasir Ilyas and Mohsin Jamil,  “Power Line Noise Removal from ECG Signal Using Notch, Band Stop and Adaptive Filters,” 2018 International Conference on Electronics, Information, and Communication (ICEIC), 24-27 Jan. 2018, Honolulu, HI, USA

[2]Md Altab Hossin, Mitun Shil, Vu Thanh and Ngo Tung Son, “An Adjustable Window-Based FIR Filter and Its Application in Audio Signal DeNoising,” 2018 3rd International Conference on Robotics and Automation Engineering, 17-19 Nov. 2018, Guangzhou, China

[3]Sunghoon Jung, Chaehun Im, Chahyeon Eom, and Chungyong Lee, “Noise Reduction after RIR removal for Speech De-reverberation and De-noising,” 2019 34th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), 23-26 June 2019, JeJu, Korea

[4]Arya Chowdhury Mugdha, Ferdousi Sabera Rawnaque, and Mosabber Uddin Ahmed, “A Study of Recursive Least Squares (RLS) Adaptive Filter Algorithm in Noise Removal from ECG Signals,” 2015 International Conference on Informatics, Electronics & Vision (ICIEV), 15-18 June 2015, Fukuoka, Japan

[5]Atilla Kilicarslan and Jose L. Contreras-Vidal, “Towards a Unified Framework for De-Noising Neural Signals,” 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 23-27 July 2019, Berlin, Germany

[6]Syed Zahurul Islam, Syed Zahidul Islam, Razali Jidin, and Mohd. Alauddin Mohd. Ali, “Performance Study of Adaptive Filtering Algorithms for Noise Cancellation of ECG Signal,” 2009 7th International Conference on Information, Communications and Signal Processing (ICICS), 8 - 9 Dec. 2009, Macau, China

[7]Yaprak Eminaga, Adem Coskun, and Izzet Kale, “Hybrid IIR/FIR Wavelet Filter Banks for ECG Signal Denoising,” 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), 17-19 Oct. 2018, Cleveland, OH, USA 

[8]Jian Chen 1,2, Xin Li, Mohamed A. Mohamed, and Tao Jin, “An Adaptive Matrix Pencil Algorithm Based-Wavelet Soft-Threshold Denoising for Analysis of Low Frequency Oscillation in Power Systems,” IEEE Access, pp. 7244-7255, vol. 8, 3 Jan. 2020

[9]Anjali W. Pise and Priti P Rege, “Comparative Analysis of Various Filtering Techniques for Denoising EEG Signals,” 2021 6th International Conference for Convergence in Technology (I2CT), 2-4 April, 2021, Maharashtra, India

[10]R. Rajeev, J.Abdul Samath, and N.K.Karthikeyan, “An Intelligent Recurrent Neural Network with Long Short-TermMemory (LSTM) BASED Batch Normalization for Medical Image Denoising,” Journal of Medical Systems (2019), pp. 1-10, vol. 43, 01 Aug. 2019

[11]Zhongyao Zhao, Chengyu Liu, Yaowei Li, Yixuan Li, Jingyu Wang, Bor-Shyh Lin, and Jianqing Li, “Noise Rejection for Wearable ECGs Using Modified Frequency Slice Wavelet Transform and Convolutional Neural Networks,” IEEE Access, pp. 34060 - 34067, 21 Feb. 2019

[12]Maame G. Asante-Mensah and Andrzej Cichocki, “Medical Image De-Noising Using Deep Networks,” 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 17-20 Nov. 2018, Singapore

[13]Keiichi Osako, Rita Singh and Bhiksha Raj, “Complex Recurrent Neural Networks for Denoising Speech Signals,” 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 18-21 Oct. 2015, New Paltz, NY, USA

[14]Mehmet Alper Oktar, Mokhtar Nibouche and Yusuf Baltaci, “Denoising Speech by Notch Filter and Wavelet Thresholding in Real Time,” 2016 24th Signal Processing and Communication Application Conference (SIU), 16-19 May, 2016, Zonguldak, Turkey

[15]Corneliu T.C. Arsene, Richard Hankins, and Hujun Yin, “Deep Learning Models for Denoising ECG Signals,” 2019 27th European Signal Processing Conference (EUSIPCO), 2-6 Sept. 2019, A Coruna, Spain

[16]Manish B. Trimale and Chilveri, “A Review: FIR Filter Implementation,” 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 19-20 May 2017, Bangalore, India

[17]S. K. Shome, S. R. K. Vadali, U. Datta, S. Sen, and A. Mukherjee, “Performance Evaluation of Different Averaging based Filter Designs Using Digital Signal Processor and its Synthesis on FPGA,” International Journal of Signal Processing, Image Processing, and Pattern Recognition, pp. 75-92, vol. 5, 2012

[18]Ginu George, Rinoy Mathew Oommen, Shani Shelly, Stephie Sara Philipose, and Ann Mary Varghese, “A Survey on Various Median Filtering Techniques for Removal of Impulse Noise from Digital Image,” 2018 Conference on Emerging Devices and Smart Systems (ICEDSS), 2-3 March, 2018, Tiruchengode, India

[19]Ronald K. Pearson, Yrjö Neuvo, Jaakko Astola, and Moncef Gabbouj, “Generalized Hampel Filters,” EURASIP Journal on Advances in Signal Processing, pp. 1-18, 5 Aug. 2016

[20]Shubhra Dixit and Deepak Nagaria, “LMS Adaptive Filters for Noise Cancellation: A Review,” International Journal of Electrical and Computer Engineering (IJECE), pp. 2520-2529, vol. 7, Oct. 2017 

[21]Jose M. Gil-Cacho, Toon van Waterschoot, Marc Moonen and Søren Holdt Jensen, “A Frequency-Domain Adaptive Filter (FDAF) Prediction Error Method (PEM) Framework for Double-Talk-Robust Acoustic Echo Cancellation,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, pp. 2074-2086, vol. 22, 28 Aug. 2014

[22]Medhat ME, “A Review on Applications of the Wavelet Transform Techniques in Spectral Analysis,” Journal of Applied & Computational Mathematics, vol. 4, 11 June, 2015

[23]C. Jaipradidtham and V. Kinnares, “Discrete Wavelet Transform - Signal Processing for Harmonic Analysis of Electromagnetic Transients in 500 kV Single Circuit Transmission System,” IEEE International Symposium on Communications and Information Technology, 2005, 12-14 Oct. 2005, Beijing, China

[24]S Celin and K. Vasanth, “ECG Signal Classification using Various Machine Learning Techniques,” Journal of Medical Systems, pp. 241-251, 18 Oct. 2018

[25]C. Kezi Selva Vijila and C. Ebbie Selva Kumar, “Cancellation of ECG in Electromyogram using Back Propagation Network,” 2009 International Conference on Advances in Recent Technologies in Communication and Computing, 27-28 Oct. 2009, Kottayam, India

[26]Sornam, M., Vanitha, V. and Ashmitha, T. G., “Noise Removal using Chebyshev Functional Link Artificial Neural Network with Backpropagation,” International Journal of Advanced Research in Computer Science, pp. 2242-2257, vol. 8, June 2017

[27]Fatemeh Bagheri, Nafiseh Ghafarnia and Fariba Baharami, “Electrocardiogram (ECG) Signal Modeling and Noise Reduction Using Hopfield Neural Networks,” ETASR - Engineering, Technology & Applied Science Research, pp. 345 - 347, vol. 3, Feb. 2013

[28]Saad Albawi, Tareq Abed Mohammed and Saad Al-Azawi, “Understanding of a Convolutional Neural Network,” 2017 International Conference on Engineering and Technology (ICET), 21-23 Aug. 2017, Antalya, Turkey

[29]Lenin Gopal and Moh Lim Sim, “Performance Analysis of Signal-to-Noise Ratio Estimators in AWGN and Fading Channels,” 2008 6th National Conference on Telecommunication Technologies and 2008 2nd Malaysia Conference on Photonics, 26-28 Aug. 2008, Putrajaya, Malaysia.