如何计算降噪后的语音评价指标PESQ的函数代码python

以下是Python中计算降噪后PESQ指标的函数代码：

import subprocess

def pesq_denoise(ref, deg, denoise):
    """
    Computes Perceptual Evaluation of Speech Quality (PESQ) metric between reference and degraded speech signals after denoising.
    Reference and degraded speech signals should be in wav format with identical format and length.
    Denoised speech signal should also be in wav format and have the same length as reference and degraded signals.
    """
    pesq_exe = "/path/to/pesq.exe"  # PESQ executable file path
    args = [pesq_exe, "+16000", "+wb", ref, deg, denoise]
    output = subprocess.check_output(args)
    output = output.decode('utf-8').split("\n")[-2]
    return float(output.split("=")[-1].strip())

其中，`ref`、`deg`和`denoise`分别是参考语音、测试语音以及降噪后的语音的wav文件路径，`pesq.exe`是计算PESQ的可执行文件路径，本例中假设PESQ可执行文件已经安装在了计算机的指定路径下。函数返回的是降噪后的PESQ得分，得分越高表示降噪效果越好。