用 python 对音乐（音频）进行处理，画出相应的音谱图

将一段wav格式的音频转换成音谱图，最终实现效果如下

整体过程思路：

1.导模块，相应模块自行安装

import wave as we
import matplotlib.pyplot as plt
import numpy as np
from scipy.io import wavfile

           2. 对音频文件进行处理

filename = '1.wav'
WAVE = we.open(filename)
for item in enumerate(WAVE.getparams()):
     print(item)
a = WAVE.getparams().nframes    # 帧总数
f = WAVE.getparams().framerate  # 采样频率
sample_time = 1/f               # 采样点的时间间隔
time = a/f                      #声音信号的长度
sample_frequency, audio_sequence = wavfile.read(filename)
print(audio_sequence)           #声音信号每一帧的“大小”
x_seq = np.arange(0,time,sample_time)

        3.画图 

  

plt.plot(x_seq,audio_sequence,'blue')
plt.xlabel("time (s)")
plt.show()

处理的较为粗糙，总体代码如下

import wave as we
import matplotlib.pyplot as plt
import numpy as np
from scipy.io import wavfile

filename = '1.wav'
WAVE = we.open(filename)
print('---------声音信息------------')
for item in enumerate(WAVE.getparams()):
     print(item)
a = WAVE.getparams().nframes    # 帧总数
f = WAVE.getparams().framerate  # 采样频率
sample_time = 1/f               # 采样点的时间间隔
time = a/f                      #声音信号的长度
sample_frequency, audio_sequence = wavfile.read(filename)
print(audio_sequence)           #声音信号每一帧的“大小”
x_seq = np.arange(0,time,sample_time)

plt.plot(x_seq,audio_sequence,'blue')
plt.xlabel("time (s)")
plt.show()