from __future__ import division
import os, wave, struct
import lib
import numpy as np
import ANN
if __name__ == '__main__':
index = 0
chunk = 256
n = ANN.Network(14, 30)
mp = ANN.SelfOrganizingMap(n)
try:
files = os.listdir("../cis 830/wav")
for filename in files:
try:
wav = wave.open("../cis 830/wav/" + filename)
bin = wav.readframes(wav.getnframes())
data = []
for i in range(0, len(bin)):
if i % 2 != 0:
continue
data.append(struct.unpack("<h", bin[i:i + 2])[0])
rate, chunk = (wav.getframerate(), 256)
duration = (len(data) / rate) * 1000
featureVector = []
for i in range(0, int(duration / 10)):
frame = data[i * 10:(i * 10) + 30]
