This study aims to solve the problem of voice interference in air traffic control communications using voice enhancement technology.By combining frequency domain noise reduction with time domain enhancement methods,this paper proposes an improved U-Net model for effective noise reduction in con-trol voice communications.The noise reduction effectiveness is directly evaluated using SNR(Signal-to-Noise Ratio)and MOS(Mean Opinion Score).Experimental results show that the SNR value of the im-proved model increased by 4.566 3 over the baseline U-Net model,reaching 7.386 1.Given the difficul-ty of accurately calculating SNR in real ATC environments,this paper employs an indirect evaluation method,using the results of a speech recognition system to measure the model's noise reduction effective-ness in actual ATC scenarios.The experimental results indicate that the test audio,after undergoing voice enhancement processing,show a reduction in the average word error rate by 1.79%and in the sentence error rate by 3%within the speech recognition system.The improved model effectively enhances voice quality and increases the accuracy of the speech recognition system.
维普
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