音频信号处理中的自适应降噪算法
Adaptive Noise Reduction Algorithm in Audio Signal Processing
陈伟1
作者信息
- 1. 咸宁职业教育(集团)学校,湖北 咸宁 437300
- 折叠
摘要
为提高语音质量,探讨了音频信号处理中的自适应降噪算法.首先,分析音频信号处理流程,并提出自适应滤波方法的优化思路.其次,针对自适应滤波方法,提出一系列优化方案.最后,采用CMU ARCTIC Corpus数据集对所提方法进行测试.实验结果表明,优化后的自适应滤波算法相较于传统方法在去噪效果上表现更优,能够有效提高语音质量.
Abstract
To improve speech quality,the article explores adaptive noise reduction algorithms in audio signal processing.Firstly,analyze the audio signal processing process and propose optimization ideas for adaptive filtering methods.Secondly,a series of optimization schemes have been proposed for the adaptive filtering method.Finally,the proposed method was tested using the CMU ARCTIC Corpus dataset.The experimental results show that the optimized adaptive filtering algorithm performs better in denoising compared to traditional methods and can effectively improve speech quality.
关键词
音频处理/自适应降噪/自适应学习率Key words
audio processing/adaptive noise reduction/adaptive learning rate引用本文复制引用
出版年
2024
NETL
NSTL
万方数据