def features():
path = 'C:/Verification/new_user'
person = os.walk(path)
for j in person:
print(j)
for file in j[2]:
if file == 'filename1.wav':
temp = audio_proc.mfcc(j[0] + '/' + file)
else:
temp = numpy.vstack((temp, audio_proc.mfcc(j[0] + '/' + file)))
numpy.savetxt(j[0] + '/etalon.txt', temp)
def verify():
process = audio_proc.mfcc('C:/Verification/verification_file.wav')
path_to_dir = 'C:/Verification/'
folder = os.walk(path_to_dir)
for i in folder:
if i[1]:
folders = i[1]
rapid = 0.4
name = ''
verified = False
compare = float(numpy.inf)
temp = 1
for i in range(0, len(folders)):
help = False
path = path_to_dir + folders[i]
with open(path + '/etalon.txt') as fin:
flag = True
for line in fin:
if flag:
data = (line.rstrip('\n')).split(' ')
flag = False
else:
data = numpy.vstack((data, (line.rstrip('\n')).split(' ')))
data = data.astype(float)
for k in range(data.shape[0]):
dist = scipy.spatial.distance.correlation(data[k], process)
#print(folders[i] + " " + dist.__str__())
if dist < rapid:
help = True
else:
help = False
if dist < temp:
temp = dist
if help and temp < compare:
name = folders[i]
compare = temp
print(name + " " + temp.__str__())
verified = True
if verified:
f = open('C:/Verification/verified.txt', 'w')
f.write("True")
f.close()
f = open('C:/Verification/name.txt', 'w')
f.write(name)
f.close()
else:
f = open('C:/Verification/verified.txt', 'w')
f.write("False")
f.close()
def registration():
how_to_say = ['НОРМАЛЬНО', 'БЫСТРО', 'МЕДЛЕННО', 'ТИХО', 'ГРОМКО']
name = input("Введите имя: ")
path = 'C:/Verification/' + name
os.mkdir(path)
for i in range(0, len(how_to_say)):
r = sr.Recognizer()
with sr.Microphone() as source:
print("Произнесите фразу " + how_to_say[i] + ": ЗЕЛЕНАЯ ТРАВА")
r.adjust_for_ambient_noise(source)
audio = r.listen(source)
path_to_write = path + "/filename" + (i + 1).__str__() + ".wav"
with open(path_to_write, "wb") as f:
f.write(audio.get_wav_data())
if i == 0:
array = audio_proc.mfcc(path_to_write)
else:
array = numpy.vstack((array, audio_proc.mfcc(path_to_write)))
numpy.savetxt(path + '/etalon.txt', array)
def verify():
#data = numpy.genfromtxt('C:/Verification/Karina/etalon.txt', delimiter='\n', dtype=numpy.float)
#data = audio_proc.mfcc('C:/Verification/Karina/filename1.wav')
#process = numpy.loadtxt('C:/Verification/Karina/etalon.txt', delimiter='\n', dtype=numpy.float)
with open('C:/Verification/etalon/etalon.txt') as fin:
i = True
for line in fin:
if i:
data = (line.rstrip('\n')).split(' ')
i = False
else:
data = numpy.vstack((data, (line.rstrip('\n')).split(' ')))
data = data.astype(float)
process = audio_proc.mfcc('C:/Verification/Kamilya/filename3.wav')
mark = 0.0
for i in range(data.shape[0]):
dist = scipy.spatial.distance.euclidean(data[i], process)
print(dist)
'''CBD = 0 # city block distance
def verify():
r = sr.Recognizer()
verification_file = 'C:/Verification/verification_file.wav'
word_1 = [line.strip() for line in open('C:/Verification/1.txt', 'r')]
word_2 = [line.strip() for line in open('C:/Verification/2.txt', 'r')]
phrase = numpy.random.choice(word_1) + " " + numpy.random.choice(word_2)
with sr.Microphone() as source:
print("Произнесите фразу: " + phrase)
r.adjust_for_ambient_noise(source)
audio = r.listen(source, phrase_time_limit=5)
print("Запись остановлена")
try:
phrase_recognition = r.recognize_google(audio, language="ru-RU")
if phrase == phrase_recognition:
with open(verification_file, "wb") as f:
f.write(audio.get_wav_data())
process = audio_proc.mfcc(verification_file)
path_to_dir = 'C:/Verification/'
folder = os.walk(path_to_dir)
for i in folder:
if i[1]:
folders = i[1]
rapid = 0.5
name = ''
verified = False
compare = float(numpy.inf)
temp = 1
for i in range(0, len(folders)):
help = False
path = path_to_dir + folders[i]
with open(path + '/etalon.txt') as fin:
flag = True
for line in fin:
if flag:
data = (line.rstrip('\n')).split(' ')
flag = False
else:
data = numpy.vstack(
(data, (line.rstrip('\n')).split(' ')))
data = data.astype(float)
for k in range(data.shape[0]):
dist = scipy.spatial.distance.correlation(data[k], process)
#print(folders[i] + " " + dist.__str__())
if dist < rapid:
help = True
if dist < temp:
temp = dist
if help and temp < compare:
name = folders[i]
compare = temp
print(name + " " + temp.__str__())
verified = True
if verified:
print('Привет, ' + name)
else:
print('Вы не были распознаны!')
else:
print('Произнесенная фраза неверна либо не распознана!')
# error occurs when google could not understand what was said
except sr.UnknownValueError:
print("Google Speech Recognition could not understand audio")
except sr.RequestError as e:
print(
"Could not request results from Google Speech Recognition service; {0}"
.format(e))