Developing Filter to Separate Human Voice from Ambient Sound

Abstract

In this study, it is aimed to reveal the sound signals of the lathe operator by filtering them from outside sounds and clarify the sound signals in a production plant that produces machining in the industrial environment. In the study, the audio signals of the speech of the lathe operator were recorded with the help of a microphone. On the recorded speech audio signals, lathe and ambient audio signals were created in Matlab environment and added. In Matlab environment, noisy sound signal simulation that includes operator and environment sounds is made. FFT operation was performed on the noisy sound signal and frequency spectra of operator sound and other ambient sounds were observed. Frequency wavelengths of noisy signals were determined in the simulated audio signal. Outside sounds are filtered using the FIR band stop filter and low pass filter from the noisy sound signal and the operator sound is obtained clearly. 

Keywords

• Signal processing
• Fast fourier transform
• Finite impulse response filters

Ortam Sesinden İnsan Sesinin Ayrıştırılması için Filtre Geliştirilmesi

Öz

Bu çalışmada, endüstri ortamında talaşlı imalat yapan bir üretim tesisinde, torna operatörü olarak görev yapan bir insanın ses sinyallerinin, istenmeyen dış ortam kaynaklı seslerin filtrelenmesiyle ortaya çıkarılması ve operatör konuşma ses sinyallerinin netleştirilmesi sağlanmıştır. Çalışmada bir insanın konuşmasına ait ses sinyalleri mikrofon yardımıyla kaydedilmiş, kaydedilen konuşma ses sinyalleri üzerine Matlab ortamında torna sesinin ve ortam ses sinyallerinin benzetimi yapılarak eklenmiştir. Benzetimi yapılan gürültülü ses sinyalinde FFT işlemi yapılarak, operatör sesi ve diğer ortam seslerinin frekans spektrumları gözlenmiştir. Benzetimi yapılan ses sinyalinde dış ortam kaynaklı ses sinyallerinin frekans dalga boyları tespit edilmiştir. Gürültülü ses sinyalinden FIR band engelleyen filtre ve alçak geçiren filtre kullanılarak dış ortam sesleri filtrelenmiş ve operatör sesi net bir şekilde elde edilmiştir.

Anahtar Kelimeler

• Sinyal işleme
• Fast fourier transform
• Finite impulse response filtreler

Kaynakça

1. Afacan, Engin et al. 2015. “A Hybrid Quasi Monte Carlo Method for Yield Aware Analog Circuit Sizing Tool.” Proceedings -Design, Automation and Test in Europe, DATE 2015-April: 1225–28.
2. Avcı, Kemal, and Eda Gümüşsoy. 2020. “Design, Analysis, and ECG Subband Processing Application of New M-Channel Cosine Modulated Uniform Filter Banks Based on Exponential Window Family.” Journal of the Faculty of Engineering and Architecture of Gazi University 35(1): 193–211.
3. Chen, Jitong, Yuxuan Wang, and Deliang Wang. 2014. “A Feature Study for Classification-Based Speech Separation at Low Signal-to-Noise Ratios.” IEEE/ACM Transactions on Audio Speech and Language Processing 22(12): 1993–2002.
4. D’Amico, Stefano, Marcello De Matteis, Andrea Donno, and Andrea Baschirotto. 2019. “A 0.9 V 3rd-Order Single-Opamp Analog Filter in 28 Nm Bulk-CMOS.” Analog Integrated Circuits and Signal Processing 98(1): 155–67. https://doi.org/10.1007/s10470-018-1261-y.
5. Damera, Saiteja, Aydın İlker Karşılayan, and Jose Silva-Martinez. 2016. “Design of Minimally Invasive All-Pole Analog Lowpass Filters.” Analog Integrated Circuits and Signal Processing 88(2): 267–77.
6. Dyer, Stephen A., and Brian K. Harms. 1993. 37 Advances in Computers Digital Signal Processing.
7. Fannin, P. C., A. Molina, S. S. Swords, and P. J. Cullen. 1991. “Digital Signal Processing Techniques Applied to Mobile Radio Channel Sounding.” IEE Proceedings, Part F: Radar and Signal Processing 138(5): 502–8.
8. Gaunholt, H. 2007. “A Numerical Design Approach for Single Amplifier, Active-RC Butterworth Filter of Order 5.” Proceedings - IEEE International Symposium on Circuits and Systems: 1927–30.

9. Grebenko, Yu A., R. I. Polyak, A. I. Starikovskii, and G. V. Kulikov. 2019. “Digital Methods for Linearization of Phase–Frequency Characteristics of Analog Filters.” Journal of Communications Technology and Electronics 64(2): 126–32.
10. Hameed, Sameed, and Sudhakar Pamarti. 2018. “Design and Analysis of a Programmable Receiver Front End with Time-Interleaved Baseband Analog-FIR Filtering.” IEEE Journal of Solid-State Circuits 53(11): 3197–3207.
11. He, Ling, Margaret Lech, Namunu Maddage, and Nicholas Allen. 2009. “Stress and Emotion Recognition Using Log-Gabor Filter Analysis of Speech Spectrograms.” Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009: 1–6.
12. Li, Zhuyan et al. 2020. “Determining Dendrite Arm Spacing in Directional Solidification Using a Fast Fourier Transform Method.” Computational Materials Science 173(August 2019): 109463. https://doi.org/10.1016/j.commatsci.2019.109463.
13. Ludeña-Choez, Jimmy, and Ascensión Gallardo-Antolín. 2015. “Feature Extraction Based on the High-Pass Filtering of Audio Signals for Acoustic Event Classification.” Computer Speech and Language 30(1): 32–42.
14. Ma, Jingwen, Ziyao Feng, Yuan Li, and Xiankai Sun. 2020. “Optically Controlled Topologically Protected Acoustic Wave Amplification.” IEEE Journal of Selected Topics in Quantum Electronics 26(5).
15. MacCallum, Julia K., Aleksandra E. Olszewski, Yu Zhang, and Jack J. Jiang. 2011. “Effects of Low-Pass Filtering on Acoustic Analysis of Voice.” Journal of Voice 25(1): 15–20. http://dx.doi.org/10.1016/j.jvoice.2009.08.004.
16. Maheshwari, Sudhanshu. 2018. “Some Analog Filters of Reduced Complexity with Shelving and Multifunctional Characteristics.” Journal of Circuits, Systems and Computers 27(10): 1–19.
17. Marciniak, Tomasz, Damian Cetnarowicz, Paweł Pawłowski, and Adam Dąbrowski. 2019. “Designing of Analog Filters for Digital Signal Processing Modules.” Przeglad Elektrotechniczny 95(10): 125–29.
18. Miki, Takahiro, and Pat Rakers. 2004. Proceedings of the Custom Integrated Circuits Conference Analog Filters.
19. Mondal, Imon, and Nagendra Krishnapura. 2018. “Expansion and Compression of Analog Pulses by Bandwidth Scaling of Continuous-Time Filters.” IEEE Transactions on Circuits and Systems I: Regular Papers 65(9): 2703–14.
20. Moseiko, N. I. et al. 2020. “An Analog-to-Digital Converter and Intelligent Controller for Use in a DAQ System Processing PMT Signals from Very High Energy Astrophysics Experiments.” Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 952(October 2018): 161755. https://doi.org/10.1016/j.nima.2018.12.070.
21. Okoniewski, Piotr, and Jacek Piskorowski. 2019. “Short Transient Parameter-Varying IIR Filter Based on Analog Oscillatory System.” Applied Sciences (Switzerland) 9(10).
22. Raz, Zohar, Strategic Marketing, and David E Borth. 1986. “Group Semiconductor.”
23. Rezaei, Nasser, and Abolfazl Salehi. 2006. “An Introduction to Speech Sciences (Acoustic Analysis of Speech).” Iranian Rehabilitation Journal 4(4): 5–14. http://irj.uswr.ac.ir/files/site1/user_files_055690/admin-A-10-1-3-3c7ebda.pdf.
24. Siegert, Ingo et al. 2014. “Investigation of Speaker Group-Dependent Modelling for Recognition of Affective States from Speech.” Cognitive Computation 6(4): 892–913. Thede, Les. 2005. “Practical Analog and Digital Filter Design Artech House , Inc .”
25. Vural, Revna Acar, Tulay Yildirim, Tevfik Kadioglu, and Aysen Basargan. 2012. “Performance Evaluation of Evolutionary Algorithms for Optimal Filter Design.” IEEE Transactions on Evolutionary Computation 16(1): 135–47.
26. Wanhammar, Lars, and Lars Wanhammar. 2009. “Introduction to Analog Filters.” Analog Filters Using MATLAB: 1–26.