Audio Quality Enhancement Using Adaptive Filters

• Author(s): Amit Kukker ; Yash Nigam ; Tushar Sawle ; Rajeet Kumar
• Paper ID: 1703621
• Page: 165-169
• Published Date: 09-07-2022
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 6 Issue 1 July-2022

Abstract

Audio quality enhancing plays a vital role in the field of speech recognition, communication, medical etc. The most widely used method is an optimal linear filtering that can reduce the noise level present in an audio signal and improve its signal to noise ratio (SNR). Here, we propose Adaptive LMS filtering method that can improve SNR and enhance audio quality in a very fruitful manner. The signal is filtered at once and the filter coefficients are computed adaptively in an exponential algorithm. The simulation results show a higher audio quality than the raw noise signal. Almost all practical signalling applications are difficult to implement. In this article, we propose a method to reduce noise in audio or speech signals using LMS adaptive filtering algorithms. The signal is filtered at once and the filter coefficients are computed adaptively in an exponential algorithm. The simulation results show a higher quality than the raw noise signal.

Citations

IRE Journals:
Amit Kukker , Yash Nigam , Tushar Sawle , Rajeet Kumar "Audio Quality Enhancement Using Adaptive Filters" Iconic Research And Engineering Journals Volume 6 Issue 1 2022 Page 165-169

IEEE:
Amit Kukker , Yash Nigam , Tushar Sawle , Rajeet Kumar "Audio Quality Enhancement Using Adaptive Filters" Iconic Research And Engineering Journals, 6(1)