def voiceiden(fname, mname):
db = GMMVoiceDB('models')
fname = fname.strip('.wav')
print fname
db.add_model(str(fname), str(mname))
out.insertHtml(QString("<font color=\"black\">%1</font>"))
out.insertPlainText("\nModel " + mname +
" Successfully added to database\n")
def segment_input(wavfile, dbpath='./voicedb'):
db = GMMVoiceDB(dbpath)
v = Voiceid(db, wavfile)
v.extract_speakers()
speaker_clusters={}
for c in v.get_clusters():
cluster = v.get_cluster(c)
print cluster
cluster.print_segments()
print
def __init__(self, test_mode=None):
self.voiceid = None
#self.db = GMMVoiceDB('/home/michela/SpeakerRecognition/voiceid/scripts/test_db/')
self.db = GMMVoiceDB(os.path.expanduser('~/.voiceid/gmm_db/'))
#self._cluster = None
#self._partial_record_time = 5
self.test_mode = test_mode
self.queue_processes = []
self._observers = []
self._processing_thread = None
self._queue_thread = []
self.thrd_n = 2
self._scores = {}
self.threshold = -32.160
def voicerec(fname):
db = GMMVoiceDB('models')
v = Voiceid(db, fname)
v.extract_speakers()
txt = ''
for c in v.get_clusters():
cl = v.get_cluster(c)
cluster = str(cl)
cluster = cluster.split(' ')
cluster = cluster[1]
cluster = cluster.strip('(')
cluster = cluster.strip(')')
txt = txt + 'Speaker : ' + cluster
seg = str(cl.print_segments())
txt = txt + '\n' + seg
out.insertPlainText(txt + "\n")
}
requests.post('http://129.236.234.21:8080/message',
data=json.dumps(payload),
headers=HEADERS)
client.publish("ais/recognize/result/" + device_id + "/" + voice_path,
speaker)
os.remove(voice.get_file_basename() + '.seg')
os.remove(voice.get_file_basename() + '.g.seg')
os.remove(voice.get_file_basename() + '.s.seg')
w = voice.get_file_basename() + '.wav'
if voice.get_filename() != w:
os.remove(w)
shutil.rmtree(voice.get_file_basename())
except IOError:
print "voice file doesn't exist"
# voice_db_lock.release()
client = mqtt.Client()
client.on_connect = on_connect
client.on_message = on_message
# set_maxthreads(trd)
db = GMMVoiceDB("voiceDB")
voice_db_lock = threading.Lock()
# client.connect("127.0.0.1", 1883, 60)
client.connect("iot.eclipse.org", 1883, 60)
# https://eclipse.org/paho/clients/python/docs/#network-loop
client.loop_forever()
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 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()
HOST_NAME = ''
#Porta do servidor
PORT_NUMBER = 9000
# A configuração: /dev/ttyACM0 é referente a porta USB que o Arduino esta ligado
ser = serial.Serial("/dev/ttyACM0", 9600)
ledLigado = "L".encode()
ledMais = "M".encode()
ledMenos = "m".encode()
fechadura = "F".encode()
tomada1 = "T".encode()
tomada2 = "t".encode()
#Configuracoes do banco de dados da API de voz
caminhoDB = '/home/smarthome/Banco/'
caminhoVoz = '/var/www/html/Voices/'
db = GMMVoiceDB(caminhoDB)
class MyHandler(BaseHTTPServer.BaseHTTPRequestHandler):
def do_HEAD(s):
s.send_response(200)
s.send_header("Content-type", "text/html")
s.end_headers()
def do_GET(s):
s.send_response(200)
s.send_header("Content-type", "text/html")
s.end_headers()
path = s.path
if '-' in path:
acao, nome, pessoa = path.split('-')
