无人机噪声环境下基于DNN网络模型的语音增强预实验。通过地面的单通道麦克风（录音笔）录制无人机飞行环境下的噪声和目标干净语音来构建噪声数据集和干净语音数据集。含噪语音通过混合两者获得。本次预实验主要利用DPCRN和U-Net两种神经网络模型进行语音增强。
基于两种深度神经网络模型，DPCRN和DCUNet，开展了无人机噪声下的语音增强预实验研究。本次预实验在地面视角使用单通道麦克风(录音笔)对飞行中的无人机噪声进行录制，构建自噪声数据集。目标干净语音来自TIMIT数据集，含噪语音通过将自噪声和干净语音以0和5dB信噪比混合得到。预实验在测试数据上的性能指标如下表所示。
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