如何用python画出语谱图（spectrogram）和mel谱图（mel spectrogram）

1.准备环境
①python
②libsora
③matplotlib

Notes：pip install 直接一步到位

2.具体代码
①语谱图（spectrogram）

import librosa
import numpy as np
import matplotlib.pyplot as plt

path = "./test.wav"

# sr=None声音保持原采样频率， mono=False声音保持原通道数
data, fs = librosa.load(path, sr=None, mono=False) 
 
L = len(data)
print('Time:', L / fs)


#0.025s
framelength = 0.025
#NFFT点数=0.025*fs
framesize = int(framelength * fs)
print("NFFT:", framesize)

#画语谱图
plt.specgram(data, NFFT=framesize, Fs=fs, window=np.hanning(M=framesize))
plt.ylabel('Frequency')
plt.xlabel('Time(s)')
plt.title('Spectrogram')
plt.show()

②mel谱图

import librosa.display
import numpy as np
import matplotlib.pyplot as plt

path = "./test.wav"

# sr=None声音保持原采样频率， mono=False声音保持原通道数
data, fs = librosa.load(path, sr=None, mono=False)

L = len(data)
print('Time:', L / fs)


# 0.025s
framelength = 0.025
# NFFT点数=0.025*fs
framesize = int(framelength * fs)
print("NFFT:", framesize)

#提取mel特征
mel_spect = librosa.feature.melspectrogram(data, sr=fs, n_fft=framesize)
#转化为log形式
mel_spect = librosa.power_to_db(mel_spect, ref=np.max)

#画mel谱图
librosa.display.specshow(mel_spect, sr=fs, x_axis='time', y_axis='mel')
plt.ylabel('Mel Frequency')
plt.xlabel('Time(s)')
plt.title('Mel Spectrogram')
plt.show()