def main():
parser = argparse.ArgumentParser(version="1.0", prog="Voice Recognition")
parser.add_argument("-a", "--add", action="store_true", help="Add a new source")
parser.add_argument("audio", type=str, help="Name of the audio file (*.wav)")
args = parser.parse_args()
audio = HOME_FOLDER + args.audio
db = GMMVoiceDB(HOME_FOLDER)
if args.add:
name = str(time.strftime("%d%m%Y%H%M%S"))
db.add_model(audio.split(".")[0], name)
else:
v = Voiceid(db, audio)
v.diarization()
dic = db.get_speakers()
dist = []
d2u = {}
for gender in dic:
users = dic[gender]
for u in users:
dist.append(db.match_voice(audio, u, gender)[u])
d2u[dist[-1]] = u
dist.sort(None, None, True)
if (dist[0] - dist[1] + CEIL) > EPS:
return d2u[dist[0]]
else:
return "unkonwn"
class AudioAnalyzer():
def __init__(self):
""" Init voice model """
self._config = ConfigParser.ConfigParser()
self._config.read("config.ini")
dbPath = os.getcwd() + "/" + self._config.get("Paths", "voiceDir")
self._db = GMMVoiceDB(dbPath)
def addUser(self, user, audio):
""" Add user to voice db """
return self._db.add_model(audio, user)
def getUserList(self):
""" Return users of voice db """
return self._db.get_speakers()
def checkAudio(self, audio):
""" Check voices inside audio file """
v = Voiceid(self._db, audio)
v.extract_speakers(quiet=True)
return v
def getTotalSpeakers(self, voiceObj):
""" List of all speakers in voice file """
return voiceObj.get_user()
def getBestUser(self, voiceObj):
""" Best near speaker in voice file """
userList = self.getTotalSpeakers(voiceObj)
print "UserList: " + str(userList)
return max(userList, key=userList.get)
def getBestUsers(self, voiceObj):
""" Best three near speakers in voice file """
userList = self.getTotalSpeakers(voiceObj)
print "UserList: " + str(userList)
if 'S0' in userList:
del userList['S0']
return sorted(userList, key=userList.get)[-3:]
def main():
parser = argparse.ArgumentParser(version='1.0',prog='Voice Recognition')
parser.add_argument("-a", "--add", action="store_true", help="Add a new source")
parser.add_argument("audio", type=str, help="Name of the audio file (*.wav)")
args = parser.parse_args()
audio = HOME_FOLDER+args.audio
db = GMMVoiceDB(HOME_FOLDER)
if args.add:
print('Adding User...')
name = str(time.strftime("%d%m%Y%H%M%S"))
db.add_model(audio.split('.')[0], name)
print('User '+name+' Added!')
else:
print('Recognition...')
v = Voiceid(db, audio)
v.diarization()
dic = db.get_speakers()
dist = []
d2u = {}
for gender in dic:
users = dic[gender]
#print('Gender: ',gender)
for u in users:
#print(db.match_voice(audio, u, gender))
dist.append(db.match_voice(audio, u, gender)[u])
d2u[dist[-1]]=u
dist.sort(None, None, True)
if (dist[0]-dist[1]+CEIL)>EPS :
print(d2u[dist[0]])
else:
print('unkonwn')
print "Done!"
def showsp():
db = GMMVoiceDB('models')
spk= str(db.get_speakers())
out.insertHtml(QString("<font color=\"black\">%1</font>").arg(spk))
from voiceid.sr import Voiceid
from voiceid.db import GMMVoiceDB
import sys
# create voice db
db = GMMVoiceDB('voiceDB')
print "DB Models:"
print db.get_speakers()
v = Voiceid(db, sys.argv[1])
v.extract_speakers(False, True)
# Set cluster speaker
c = v.get_cluster('S1')
c.set_speaker('derek')
c = v.get_cluster('S6')
c.set_speaker('derek')
# update db
v.update_db()
print "DB Models:"
print db.get_speakers()
def showsp():
db = GMMVoiceDB('models')
spk = str(db.get_speakers())
out.insertHtml(QString("<font color=\"black\">%1</font>").arg(spk))
#Using voiceid(google opensource project) for voice recognisation using python
from voiceid.sr import Voiceid
from voiceid.db import GMMVoiceDB
db = GMMVoiceDB('mydir') #creating database/directory of registered voices
db.add_model('C:\Users\raman\Documents\raman.wma', 'Raman','M')
db.add_model('C:\Users\raman\Documents\lalit.wma', 'Lalit','M')
db.add_model('C:\Users\raman\Documents\aneesha.wma', 'Aneesha','F')
db.add_model('C:\Users\raman\Documents\priyanka.wma', 'Priyanka','F')
db.get_speakers() # this will get all the speakers in the database/directory
if(db.matchvoice('C:\Users\raman\Documents\lalit.wma', 'Lalit')) #the matchvoice function will compare the voices
{
print "Lalit is present" }
else print "Lalit is absent"
v = Voiceid(db)
v.extract_speakers()
for c in v.get_clusters():
cluster = v.get_cluster(c)
print cluster
cluster.print_segments()
