语音评价指标PESQ的函数代码python
时间: 2023-12-24 17:05:08 浏览: 59
以下是Python中计算PESQ指标的函数代码:
```
import subprocess
def pesq(ref, deg):
"""
Computes Perceptual Evaluation of Speech Quality (PESQ) metric between reference and degraded speech signals.
Reference and degraded speech signals should be in wav format with identical format and length.
"""
pesq_exe = "/path/to/pesq.exe" # PESQ executable file path
args = [pesq_exe, "+16000", "+wb", ref, deg]
output = subprocess.check_output(args)
output = output.decode('utf-8').split("\n")[-2]
return float(output.split("=")[-1].strip())
```
其中,`ref`和`deg`分别是参考语音和测试语音的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PESQ得分,得分越高表示语音质量越好。
相关问题
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。
给出一个PESQ评价声音的python代码
### 回答1:
PESQ(Perceptual Evaluation of Speech Quality)是一种用于评估语音质量的客观测量方法。以下是一个使用pesq库计算PESQ分数的示例Python代码:
```python
import pesq
# 原始音频文件路径
ref_file = "original_audio.wav"
# 评估音频文件路径
deg_file = "evaluated_audio.wav"
# 语音采样率
rate = 16000
# 计算PESQ分数
score = pesq(ref_file, deg_file, rate)
# 打印PESQ分数
print("PESQ score:", score)
```
注意:在使用此代码之前,需要先安装pesq库。可以使用以下命令进行安装:
```
pip install pesq
```
### 回答2:
PESQ(Perceptual Evaluation of Speech Quality)是一种用于评估语音质量的客观测量方式。以下是一个用Python编写的PESQ评价声音质量的示例代码:
```python
import subprocess
def evaluate_sound_quality(ref_audio_path, deg_audio_path):
command = ['pesq', '+16000', ref_audio_path, deg_audio_path]
output = subprocess.check_output(command, stderr=subprocess.STDOUT)
output = output.decode('utf-8')
# 提取PESQ得分
pesq_score = None
for line in output.split('\n'):
if line.startswith('PESQ'):
pesq_score = float(line.split()[-1])
return pesq_score
# 示例用法
ref_audio_path = 'reference.wav' # 参考音频文件路径
deg_audio_path = 'degraded.wav' # 评估音频文件路径
score = evaluate_sound_quality(ref_audio_path, deg_audio_path)
print('PESQ score:', score)
```
上述代码使用了`subprocess`模块来调用外部的`pesq`命令行工具进行音频质量评估。请确保您已在系统中安装了PESQ工具,并将其路径添加到系统环境变量中。
将参考音频文件和待评估音频文件分别替换为真实的音频文件路径,然后运行代码,即可获得基于PESQ的声音质量评分结果。
### 回答3:
下面是一个用于评估音频质量的PESQ(PPerceptual Evaluation of Speech Quality)的评估声音的简单Python代码示例:
```python
import subprocess
def calc_pesq(reference_file, degraded_file):
try:
# 使用PESQ命令行工具评估音频质量并返回结果
result = subprocess.check_output(["pesq", "+16000", reference_file, degraded_file])
result = result.decode("utf-8").split("\n")[-2].split(" ")[-1]
return float(result)
except Exception as e:
print("评估音频质量出错:", e)
return None
# 输入参考音频文件和降质音频文件的路径
reference_file = "reference.wav"
degraded_file = "degraded.wav"
# 使用PESQ评估音频质量并获取结果
pesq_score = calc_pesq(reference_file, degraded_file)
if pesq_score is not None:
print("PESQ评分为:", pesq_score)
else:
print("评估音频质量失败")
```
此代码假设您已经安装了PESQ命令行工具,并将其添加到系统的环境变量中。代码使用`subprocess`模块来调用PESQ命令行工具,并将输出结果解析为评分值。
请注意,为了使此代码正常工作,您需要将`reference.wav`替换为参考音频文件的实际路径(即高质量音频文件),将`degraded.wav`替换为降质音频文件的实际路径(即被评估音频文件)。
希望这个简单的示例对你有帮助!