ITM Web Conf.
Volume 47, 20222022 2nd International Conference on Computer, Communication, Control, Automation and Robotics (CCCAR2022)
|Number of page(s)||5|
|Section||Algorithm Optimization and Application|
|Published online||23 June 2022|
Integrated speech signal processor based on spectrum analysis and LMS algorithm
School of Electronic Information, Wuhan University, Wuhan, China
* Corresponding author: firstname.lastname@example.org
Spectrum analysis is often used for sound signal analysis. LMS algorithm is an improved algorithm of steepest descent algorithm, which is an optimized extension of wiener filter theory and is often used in audio noise reduction. In this paper, we display the time-frequency domain image of audio, use spectrum analysis for audio gender recognition, and use LMS algorithm for noise reduction. Experimental results show that the method adopted in this paper has high accuracy for sound discrimination, and can significantly eliminate the environmental noise, which can not only be heard but seen in the frequency domain figure. After our audio enhancement, the speaker’s voice can be very clear.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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