In [1]:
import librosa
import IPython.display
import numpy as np
import random
C:\Users\Vardan\Anaconda\lib\site-packages\librosa\core\audio.py:33: UserWarning: Could not import scikits.samplerate. Falling back to scipy.signal
warnings.warn('Could not import scikits.samplerate. '
In [6]:
import matplotlib.pyplot as plt
%matplotlib inline
In [50]:
def returnbeatsperminuteforpeaks(peaks):
intervalCounts = {}
intervaldifferences = []
for i in range(len(peaks)-1):
interval = peaks[i+1]-peaks[i]
intervaldifferences.append(interval)
beatsperminute = [60*x/4 for x in intervaldifferences]
return beatsperminute,intervaldifferences
In [54]:
audio_path = 'songs\DeepPurple-SpaceTruckin.mp3'
audioStream, sr = librosa.load(audio_path)
tempo, beats = librosa.beat.beat_track(y=audioStream, sr=sr,hop_length=512, tightness=500)
peaks= librosa.frames_to_time(beats, sr=sr)
beatsperminute,intervaldifferences =returnbeatsperminuteforpeaks(peaks)
np.savetxt("foo.csv", intervaldifferences, delimiter=",")
In [13]:
colorData = []
tmpVar =[]
for i in range(1,len(beats)):
if i==1:
tmpVar = np.abs(audioStream[1:beats[i]])
colorData.append(np.sum(tmpVar))
else:
tmpVar = np.abs(audioStream[beats[i-1]:beats[i]])
colorData.append(np.sum(tmpVar))
In [20]:
In [48]:
In [49]:
intervaldifferences
Out[49]:
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0.46439909297049553,
0.51083900226757351,
0.44117913832201339,
0.48761904761903452,
0.46439909297055237,
0.46439909297049553,
0.48761904761903452]
In [ ]:
Content source: RockMyLight/django-rml
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