def initialize():
index = 0
all_features = np.empty((data_size, feature_length))
all_output_labels = np.empty(
(data_size, size_of_output_labels_vector)
) # loop through all words, call word_to_index[word] and assign it to np.zeros
all_words = {}
for filename in os.listdir(directory):
if os.path.isdir(directory + "/" + filename):
for filename2 in os.listdir(os.path.join(directory, filename)):
if os.path.isdir(directory + "/" + filename + "/" + filename2):
for filename3 in os.listdir(
os.path.join(directory, filename, filename2)):
if filename3 == "cache-file":
with open(
os.path.join(directory, filename,
filename2, filename3),
'rd') as f:
for line in f:
audioFilePath = os.path.join(
directory, filename, filename2,
line.split(' ')[0])
word = line.split(' ')[1]
startTime = float(line.split(' ')[2])
endTime = float(line.split(' ')[3])
with open(audioFilePath, 'rd') as a:
timelinedWord = WordWithTimeline(
word, startTime, endTime)
try:
all_features[
index, :] = FeaturesExtractor.getFeaturesFFT(
timelinedWord,
audioFilePath,
feature_length)
all_output_labels[
index, :] = np.zeros(
size_of_output_labels_vector
)
all_words[index] = word
all_output_labels[
index, word_to_index[word]] = 1
index += 1
except ValueError:
print("skipping word, all zeros")
if index >= data_size:
return all_output_labels, all_features, all_words
with open(os.path.join(directory, "cache-file"), 'rd') as f:
while numOfWords > 0:
line = f.readline()
words[5 - numOfWords] = line.split(' ')[1]
audioFilePath = os.path.join(directory, line.split(' ')[0])
startTime = float(line.split(' ')[2])
endTime = float(line.split(' ')[3])
# with open(audioFilePath, 'rd') as a:
timelinedWord = WordWithTimeline(
line.split(' ')[1], startTime, endTime)
features[5 - numOfWords, :] = FeaturesExtractor.getFeaturesFFT(
timelinedWord, audioFilePath, feature_length)
numOfWords -= 1
for i in range(5):
outputs[i] = generateDicArray(words, words[i])
# print(words)
# print(outputs)
# print(features)
n_classes = 5
x = int(np.sqrt(feature_length))
layer_1 = Convolutional(input_shape=(x, x, 1),