写一个双门限法进行端点检测的python代码

以下是一个简单的双门限法端点检测的Python代码示例：

import numpy as np
import matplotlib.pyplot as plt

# 生成一段示例音频信号
fs = 44100  # 采样率
duration = 5  # 时长
f = 1000  # 频率
t = np.arange(fs * duration) / fs
signal = np.sin(2 * np.pi * f * t)

# 设定门限参数
low_threshold = 0.1  # 低门限
high_threshold = 0.5  # 高门限
window_size = int(0.02 * fs)  # 滑动窗口大小

# 计算短时能量
energy = np.convolve(signal ** 2, np.ones(window_size), mode='same')

# 检测端点
start = 0
while energy[start] < low_threshold:
    start += 1
end = len(energy) - 1
while energy[end] < low_threshold:
    end -= 1
for i in range(start, end):
    if energy[i] > high_threshold:
        start = i - window_size // 2
        break
for i in range(end, start, -1):
    if energy[i] > high_threshold:
        end = i + window_size // 2
        break

# 绘制结果
plt.plot(t, signal)
plt.plot(t, energy / np.max(energy) * np.max(signal), 'r')
plt.axvline(x=start / fs, color='g')
plt.axvline(x=end / fs, color='g')
plt.xlabel('Time (s)')
plt.ylabel('Amplitude')
plt.show()

注：此代码仅为示例，实际中需要根据具体需求进行参数调整。