使用Python对wav文件执行每秒FFT

import numpy as np
import scipy.io.wavfile as wav

# 读取wav文件
sample_rate, data = wav.read('audio.wav')

# 将音频数据转换为单声道
if len(data.shape) > 1:
    data = data[:, 0]

# 计算每秒的采样点数
samples_per_second = int(sample_rate)

# 计算每秒的FFT
window_size = samples_per_second
overlap = 0.5  # 50% 的重叠
hop_size = int(window_size * (1 - overlap))
num_ffts = int((len(data) - window_size) / hop_size) + 1

# 执行每秒FFT
for i in range(num_ffts):
    start = i * hop_size
    end = start + window_size
    segment = data[start:end]
    
    # 执行FFT
    fft_result = np.fft.fft(segment)
    
    # 对FFT结果进行进一步处理或分析
    # ...