基于声音增强技术的广播电视信号传输方法研究

Research on Radio and Television Signal Transmission Method Based on Sound Enhancement Technology

提出一种基于声音增强技术的广播电视信号传输方法,旨在解决噪声干扰和信道失真等问题,提高音频信号质量。采用深度学习算法进行噪声抑制,自适应均衡技术进行均衡补偿,以及动态范围压缩技术进行响度控制,实现传输音质的全面提高。实验结果表明,该方法在客观评估和主观听感上均取得了显著改善,为听众带来了更佳的收听体验。

A transmission method of radio and television signals based on sound enhancement technology is proposed,which aims to solve the problems of noise interference and channel distortion and improve the quality of audio signals.Deep learning algorithm is used for noise suppression,adaptive equalization technology is used for equalization compensation,and dynamic range compression technology is used for loudness control to achieve overall improvement of transmission sound quality.The experimental results show that this method has significantly improved the objective evaluation and subjective listening sense,and brought a better listening experience to the audience.