Restoration Algorithms for Audio Background Noise in Old Movies
Chinese movies have a history of over a century.Some old movie audio films have sensitive films that,under the corrosion of time and human damage,may show signs such as mold and scratches.During the sound reproduction process,background noise is produced,which affects the listening experience.Based on this,this article proposes an audio restoration algorithm based on SE-GAN,which can effectively solve the sound quality problem of old movies.This algorithm improves the performance of the signal generator by introducing a vector quantization layer,and introduces frequency domain loss to make the denoised speech signal have frequency characteristics closer to pure audio.Experiments have shown that this algorithm can effectively improve the denoising performance of old movies and improve their various objective evaluation indicators.
NETL
NSTL
万方数据
