语音信号是双声道的
时间: 2024-02-29 22:53:28 浏览: 15
如果语音信号是双声道的,可以对两个声道的信号分别进行分析,可以使用如下的Python代码:
```python
import numpy as np
import matplotlib.pyplot as plt
import scipy.signal as signal
import scipy.io.wavfile as wav
# 读取wav文件
fs, data = wav.read('test.wav')
# 取左声道
signal_left = data[:, 0]
# 取右声道
signal_right = data[:, 1]
# 计算两个声道的自相关函数
acf_left = signal.correlate(signal_left, signal_left, mode='full')
acf_right = signal.correlate(signal_right, signal_right, mode='full')
# 取自相关函数的前半部分
acf_half_left = acf_left[:len(acf_left) // 2]
acf_half_right = acf_right[:len(acf_right) // 2]
# 寻找基音周期
period_left = np.argmax(acf_half_left) + 1
period_right = np.argmax(acf_half_right) + 1
# 计算基音频率
fund_freq_left = fs / period_left
fund_freq_right = fs / period_right
# 绘制基频曲线
plt.subplot(2, 1, 1)
plt.plot(acf_half_left)
plt.xlabel('Delay (samples)')
plt.ylabel('Autocorrelation (left channel)')
plt.title('Fundamental Frequency (left channel) = %.2f Hz' % fund_freq_left)
plt.subplot(2, 1, 2)
plt.plot(acf_half_right)
plt.xlabel('Delay (samples)')
plt.ylabel('Autocorrelation (right channel)')
plt.title('Fundamental Frequency (right channel) = %.2f Hz' % fund_freq_right)
plt.tight_layout()
plt.show()
```
这段代码将左声道和右声道的自相关函数分别计算,然后分别求出基音周期和基音频率,并绘制两个声道的基频曲线。如果需要对两个声道的基频取平均值,可以将左声道和右声道的基音频率相加后除以2。