首页|语音增强技术在实时音频处理中的应用研究

语音增强技术在实时音频处理中的应用研究

扫码查看
随着现代通信技术的快速发展,语音增强技术在实时音频处理中的应用备受关注.研究一种基于深度学习的语音增强应用方案,通过WaveCRN模型对语音信号进行时频特征建模与增强.实验结果表明,该方案在多种复杂噪声环境下显著提升语音清晰度和信噪比,优于传统算法,为实时音频处理系统的构建提供有效的技术支持.
Research on the Application of Speech Enhancement Technology in Real-Time Audio Processing
With the rapid advancement of modern communication technologies,speech enhancement applications have drawn significant attention.A speech enhancement scheme based on deep learning is studied.The time-frequency characteristics of speech signals are modeled and enhanced by WaveCRN model.Experimental results demonstrate that this approach significantly improves speech clarity and signal-to-noise ratio in complex noise environments,outperforming traditional algorithms,and providing effective support for constructing real-time audio processing systems.

speech enhancementreal-time audio processingdeep learning

姚晓龙、张雪

展开 >

中国联通软件研究院哈尔滨分院,黑龙江 哈尔滨 150036

语音增强 实时音频处理 深度学习

2024

电声技术
电视电声研究所(中国电子科技集团公司第三研究所)

电声技术

影响因子:0.259
ISSN:1002-8684
年,卷(期):2024.48(11)