def createSnareFft():
# read in the snare drum sample
files = glob.glob('./snare_samples/*.wav')
matrix = numpy.array([])
for filename in files:
print filename
rate, data = wave_reader.readWav(filename)
data = wave_reader.stereoToMono(data)
features = analyzer.getFrequencies(data)
matrix = build_data.addToFeatureMatrix(matrix, features[0:2000])
build_data.saveFile('snaredata.csv', matrix)
def readSong(filename, segTime = 0.05): # read in the input song rate, data = wave_reader.readWav(filename) data = wave_reader.stereoToMono(data) # sample every 0.1 seconds by default segSize = segTime * rate matrix = numpy.array([]) print 'reading in song...' start = 0 end = segSize for i in range(0, int(math.floor(len(data)/segSize))): data_seg = data[start:end] start += segSize end += segSize features = analyzer.getFrequencies(data_seg) matrix = build_data.addToFeatureMatrix(matrix, features[0:2000]) outfile = os.path.splitext(filename)[0] + '.csv' build_data.saveFile(outfile, matrix) return matrix
