Research on audio enhancement algorithm based on generative adversarial network

Ziyang Kang; Lei Chen; Qi Chen

doi:10.1117/12.2681021

8 June 2023 Research on audio enhancement algorithm based on generative adversarial network

Ziyang Kang, Lei Chen, Qi Chen

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 1270712 (2023) https://doi.org/10.1117/12.2681021
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

In this paper, based on the theoretical foundation of generative adversarial networks and knowledge related to audio enhancement and denoising, a generative adversarial network model and framework are established，and the function of SEGAN audio enhancement algorithm is selected to complete audio noise reduction, improve the purity of audio and realize the audio enhancement algorithm function. At the same time, the training data of the loss function of GAN is optimized from the mathematical principle and the audio enhancement algorithm is evaluated by the speech quality assessment index.This paper replicates SEGAN's audio enhancement generative adversarial network with good practical effects in noise containing frequency denoising and pure audio enhancement, and the enhanced speech of this research method has better auditory quality and intelligibility, and also has better stability compared with the original SEGAN network.

Citation Download Citation

Ziyang Kang, Lei Chen, and Qi Chen "Research on audio enhancement algorithm based on generative adversarial network", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 1270712 (8 June 2023); https://doi.org/10.1117/12.2681021

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available