ESC-50 | ESC-50 : Dataset for Environmental Sound Classification | Dataset library

import numpy as np

import pandas as pd

import matplotlib.pyplot as plt

import librosa as lr

import glob

path = r'/content/drive/MyDrive/ESC-50/305 - Coughing/*.ogg'

a = glob.glob(path)

print(len(a))

for file in range(0,len(a),1):
  #scale, sr = librosa.load(a[file])
  #print(sr)


  scale, sr = librosa.load(a[file])
 
  mel_spectrogram = librosa.feature.melspectrogram( scale, sr=sr, n_fft=1024, hop_length=512, 
 
  n_mels=228
                                                   )
  mel_spectrogram.shape
  
  log_mel_spectrogram = librosa.power_to_db((mel_spectrogram))
  
  log_mel_spectrogram.shape

  plt.figure(figsize=(10, 5))
   
  librosa.display.specshow(log_mel_spectrogram, x_axis="time",
                            y_axis="log", 
                            
                            sr=sr)
  plt.colorbar(format="%+2.f")

  plt.show()