一种基于深度学习的实时音频降噪方法及装置
本申请涉及音频降噪技术领域,具体公开了一种基于深度学习的实时音频降噪方法及装置,此方法包括音频采集与转换、实时分帧与加窗、时频变换、轻量化神经网络模型输出、纯净语音幅度谱重构、时频逆变换与重叠相加和输出降噪音频等步骤,轻量化神经网络模型与实时音频处理流程深度结合,实现了对音频的实时降噪处理,有效去除音频中的噪声,提高音频的清晰度和质量。本申请具有改善现有音频降噪方法存在一定的缺陷,无法满足当前一些对音频质量要求较高的应用场景的问题的效果。
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