def main(): for filename in os.listdir(os.getcwd() + '/Output'): if(filename[-4:] == '.mp3'): os.remove('Output/' + filename) localAudioFiles = [] for filename in os.listdir(os.getcwd() + '/Input'): print filename if(filename != '.DS_Store' and filename != 'Thumb.db'): localAudioFiles.append(audio.LocalAudioFile('Input/' + filename)) keys = [localAudioFiles[0].analysis.key['value'], localAudioFiles[1]. analysis.key['value'], 0,0,0] for i,laf in enumerate(localAudioFiles[0:2]): if(laf.analysis.mode['value'] == 0): keys[i] = keys[i]+3 if(keys[i] > 11): keys[i] = keys[i] - 12 tempos = [localAudioFiles[0].analysis.tempo['value'], localAudioFiles[1]. analysis.tempo['value'], 0,0,0] localAudioFiles = matchTempoAndKey(localAudioFiles, tempos, keys) for i in range(3): localAudioFiles[i+2].encode(str(i)+'.mp3') print "tempos after match should equal midTempo: ", [laf.analysis.tempo['value'] for laf in localAudioFiles] equalize_tracks([localAudioFiles[0],localAudioFiles[1],localAudioFiles[2]]) equalize_tracks([localAudioFiles[3],localAudioFiles[4]]) print "len(localAudioFiles)/5 after match: ", len(localAudioFiles)/5 loudnessMarkers = Main.findLoudestRegion([localAudioFiles[0].analysis.segments, localAudioFiles[1].analysis.segments], [localAudioFiles[0].analysis.tempo['value'], localAudioFiles[1].analysis.tempo['value']]) beatMarkers = Main.getBeatMarkers(loudnessMarkers, [localAudioFiles[0].analysis.segments, localAudioFiles[1].analysis.segments],[localAudioFiles[0].analysis.beats, localAudioFiles[1].analysis.beats]) mashComponents(localAudioFiles, beatMarkers)
def main(): flushDirectory() filenames = getAudioFiles() for j in range(len(filenames)/5): localAudioFiles = [audio.LocalAudioFile(filenames[5*j], verbose=False), audio.LocalAudioFile(filenames[5*j+1], verbose=False)] localAudioFiles.append(audio.AudioData(filenames[5*j+2], sampleRate=44100, numChannels=2, verbose=False)) localAudioFiles.append(audio.AudioData(filenames[5*j+3], sampleRate=44100, numChannels=2, verbose=False)) localAudioFiles.append(audio.AudioData(filenames[5*j+4], sampleRate=44100, numChannels=2, verbose=False)) keys = [localAudioFiles[0].analysis.key['value'], localAudioFiles[1]. analysis.key['value'], 0,0,0] for i,laf in enumerate(localAudioFiles[0:2]): if(laf.analysis.mode['value'] == 0): keys[i] = keys[i]+3 if(keys[i] > 11): keys[i] = keys[i] - 12 print "keys: ", keys tempos = [localAudioFiles[0].analysis.tempo['value'], localAudioFiles[1]. analysis.tempo['value'], 0,0,0] deleteOldSongs([os.path.basename(laf.filename) for laf in localAudioFiles]) localAudioFiles = matchTempoAndKey(localAudioFiles, tempos, keys) for i in range(3): localAudioFiles[i+2].encode(str(i)+'.mp3') print "tempos after match should equal midTempo: ", [laf.analysis.tempo['value'] for laf in localAudioFiles] equalize_tracks([localAudioFiles[0],localAudioFiles[1],localAudioFiles[2]]) equalize_tracks([localAudioFiles[3],localAudioFiles[4]]) print "len(localAudioFiles)/5 after match: ", len(localAudioFiles)/5 loudnessMarkers = Main.findLoudestRegion([localAudioFiles[0].analysis.segments, localAudioFiles[1].analysis.segments], [localAudioFiles[0].analysis.tempo['value'], localAudioFiles[1].analysis.tempo['value']]) beatMarkers = Main.getBeatMarkers(loudnessMarkers, [localAudioFiles[0].analysis.segments, localAudioFiles[1].analysis.segments],[localAudioFiles[0].analysis.beats, localAudioFiles[1].analysis.beats]) mashComponents(localAudioFiles, beatMarkers)