def ExtractFeatures(newPath):
[fs, x] = audioBasicIO.readAudioFile(newPath)
mt_size, mt_step, st_win = 1, 1, 0.5
[mt_feats, st_feats, _] = mT(x, fs, mt_size * fs, mt_step * fs,
round(fs * st_win), round(fs * st_win * 0.5))
(mt_feats_norm, MEAN, STD) = normalizeFeatures([mt_feats.T])
mt_feats_norm = mt_feats_norm[0]
mt_feats_normal = mt_feats_norm[:55]
return mt_feats_normal
def ExtractFeatures(newPath):
[fs, x] = audioBasicIO.readAudioFile(newPath)
mt_size, mt_step, st_win = 1, 1, 0.5
[mt_feats, st_feats, _] = mT(x, fs, mt_size * fs, mt_step * fs,
round(fs * st_win), round(fs * st_win * 0.5))
(mt_feats_norm, MEAN, STD) = normalizeFeatures([mt_feats.T])
mt_feats_norm = mt_feats_norm[0].T
#F, name = audioFeatureExtraction.stFeatureExtraction(x, Fs, 0.050*Fs, 0.025*Fs)
#print np.shape(F)
return mt_feats_norm
@details: Music segmentation example
@author Theodoros Giannakopoulos {[email protected]}
"""
import os, readchar, sklearn.cluster
from pyAudioAnalysis.audioFeatureExtraction import mtFeatureExtraction as mT
from pyAudioAnalysis.audioBasicIO import readAudioFile, stereo2mono
from pyAudioAnalysis.audioSegmentation import flags2segs
from pyAudioAnalysis.audioTrainTest import normalizeFeatures
if __name__ == '__main__':
# read signal and get normalized segment features:
input_file = "../data/song1.mp3"
fs, x = readAudioFile(input_file)
x = stereo2mono(x)
mt_size, mt_step, st_win = 5, 0.5, 0.05
[mt_feats, st_feats, _] = mT(x, fs, mt_size * fs, mt_step * fs,
round(fs * st_win), round(fs * st_win * 0.5))
(mt_feats_norm, MEAN, STD) = normalizeFeatures([mt_feats.T])
mt_feats_norm = mt_feats_norm[0].T
# perform clustering (k = 4)
n_clusters = 4
k_means = sklearn.cluster.KMeans(n_clusters=n_clusters)
k_means.fit(mt_feats_norm.T)
cls = k_means.labels_
segs, c = flags2segs(cls, mt_step) # convert flags to segment limits
for sp in range(n_clusters): # play each cluster's segment
for i in range(len(c)):
if c[i] == sp and segs[i, 1] - segs[i, 0] > 5:
# play long segments of current cluster (only win_to_play seconds)
d = segs[i, 1] - segs[i, 0]
win_to_play = 10
if win_to_play > d: