Meiniar, Wulan and Afrida, Filda Ayu and Irmasari, Ai and Mukti, Ali and Astharini, Dwi (2018) Human voice filtering with band-stop filter design in MATLAB. In: Proceeding of 2017 International Conference on Broadband Communication, Wireless Sensors and Powering (BCWSP). IEEE, Jakarta, pp. 1-4. ISBN 978-1-5386-2833-1
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Abstract
This paper discusses human voice filtering. The filtering was done by attenuating human voice's frequencies within a song's frequencies using filter design. Band-stop filter design is one of filter design that is used in this research. The band-stop filter design uses one type of windowing that is the Butterworth windowing. The method for the human voice filtering is offered by using a band-stop filter design simulated in MATLAB. The specified stop-band is based on the human voice's frequencies. The algorithm was done to filter the human voice from an audio. The result is then optimized to find the optimal result for the filtering. The methods for the optimization are used to simulate the band-stop filter design with different stop-band, FFT the result to show its frequency spectrum, and repeat the process until the heard voice has the optimal result. Based on the methods, a comparison between various stop-band specifications is presented to find the most optimal one. The chosen stop-band is used for male voice filtering and female voice filtering to see if it is suitable for both kind of voices.
Item Type: | Book Section |
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Additional Information: | Presented in "The International Conference on Broadband Communication, Wireless Sensors and Powering" held on 21-23 November 2017 in Jakarta, Indonesia |
Uncontrolled Keywords: | Notch filters; Human voice; Cutoff frequency; Low pass filters; Filter banks; electrical engineering |
Subjects: | 600 Applied sciences & technology > 620 Engineering > 621 Applied Physics |
Divisions: | Universitas Al-Azhar Indonesia (UAI) > Fakultas Sains dan Teknologi (FST) > Teknik Elektro |
Depositing User: | Rifda Jilan |
Date Deposited: | 09 Mar 2023 06:38 |
Last Modified: | 09 Mar 2023 06:38 |
URI: | http://eprints.uai.ac.id/id/eprint/2099 |
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