def get_en_feats(filename):
"""
Given a filename from the Tzanetakis dataset, go get the Echo Nest
features for that file. Features are basically per segment,
but we have the start time of beats and bars
INPUT:
- filename Tzanetakis file full filename
OUTPUT:
- pitches numpy array (12 x nSegs)
- segs start time array
- beats start time array
- bars start time array
- duration in seconds
"""
entrack = track.upload(filename)
segs = entrack.segments
# pitches
pitches = [s['pitches'] for s in entrack.segments]
pitches = np.array(pitches).T
# seg start
seg_start = np.array([s['start'] for s in entrack.segments])
# beats start
beat_start = np.array([b['start'] for b in entrack.beats])
# bars start
bar_start = np.array([b['start'] for b in entrack.bars])
# return
return pitches, seg_start, beat_start, bar_start, entrack.duration
def get_en_feats(filename):
"""
Given a filename from the Tzanetakis dataset, go get the Echo Nest
features for that file. Features are basically per segment,
but we have the start time of beats and bars
INPUT:
- filename Tzanetakis file full filename
OUTPUT:
- pitches numpy array (12 x nSegs)
- segs start time array
- beats start time array
- bars start time array
- duration in seconds
"""
entrack = track.upload(filename)
segs = entrack.segments
# pitches
pitches = [s['pitches'] for s in entrack.segments]
pitches = np.array(pitches).T
# seg start
seg_start = np.array([s['start'] for s in entrack.segments])
# beats start
beat_start = np.array([b['start'] for b in entrack.beats])
# bars start
bar_start = np.array([b['start'] for b in entrack.bars])
# return
return pitches, seg_start, beat_start, bar_start, entrack.duration
def main():
# For each hottt artist...
for a in artist.get_top_hottt_artists():
print a.name
# Get the latest 15 mp3 files EN's crawlers have found
for audio in a.audio():
try:
# Analyze the URL of the file
t = track.upload(audio["url"])
# And print the BPM
print audio["title"] + " -- " + str(t.tempo["value"]) + " bpm" # show the tempo
# You'll see a lot of API Error 5s because mp3 URLs are very transient. Just catch them and move on.
except util.EchoNestAPIError:
print "Problem analyzing " + audio["url"]
pass
def main():
# For each hottt artist...
for a in artist.get_top_hottt_artists():
print a.name
# Get the latest 15 mp3 files EN's crawlers have found
for audio in a.audio():
try:
# Analyze the URL of the file
t = track.upload(audio["url"])
# And print the BPM
print audio["title"] + " -- " + str(
t.tempo["value"]) + " bpm" # show the tempo
# You'll see a lot of API Error 5s because mp3 URLs are very transient. Just catch them and move on.
except util.EchoNestAPIError:
print "Problem analyzing " + audio["url"]
pass
# songfile
songfile = os.path.abspath(sys.argv[1])
tmpfilemat = os.path.abspath(sys.argv[2])
if tmpfilemat[-4:] != '.mat':
tmpfilemat += '.mat'
if os.path.isfile(tmpfilemat):
os.remove(tmpfilemat)
# first encode song with tzanetakis code from HackDay
TZAN.filename_to_beatfeat_mat(songfile,savefile=tmpfilemat)
print 'song encoded to matfile'
# then retrieve stuff from EchoNest
track = trackEN.upload(songfile)
identifier = string.split(track.identifier,'/')[-1]
print 'EN identifier =',identifier
a,b,c,d,e = EXTRAS.get_our_analysis(identifier)
segstart, chromas, beatstart, barstart, duration = a,b,c,d,e
if segstart == None:
print 'EN gave us None, must start again'
sys.exit(0)
analysis_dict = {'segstart':segstart,'chromas':chromas,
'beatstart':beatstart,'barstart':barstart,
'duration':duration}
del a,b,c,d,e,segstart,chromas,beatstart,barstart,duration
print 'analysis retrieved from Echo Nest'
# features from online (positive=False to compare with old school method)
