def witAI():
#loading pygsr Python google speach recognition
speech = Pygsr()
raw_input("Ready ?")
speech.record(5) # duration in seconds (3)
try:
phrase, complete_response = speech.speech_to_text(
'en_US') # select the language
except:
phrase = "Tell me a joke !"
print phrase
phrase = phrase.strip().replace(" ", "%20").encode(
'ascii') #if not ascii, curl crashes
#Wit.ai curl URL
curl_url = "https://api.wit.ai/message?q=%s" % phrase
#Auth headers
curl_header = ["Authorization: Bearer YW3P2YITCYYXGHVLMIE7R7G7BBJODBG4"]
#debug
print curl_url
answer = get_curl(curl_url, curl_header)
print answer
result = json.loads(answer) #parse answer
return result
def start():
speech = Pygsr()
# duration in seconds
speech.record(4)
output = "log.csv"
input = "audio.flac"
if input[-5:] != '.flac':
input += '*.flac'
files = glob.glob(input)
for flac in files:
print "opening %s:" % flac
valid_result = False
tries = 0
with open(flac, 'rb') as f:
result = GoogleSpeechAPI(f)
print "Audio is %.03f seconds long" % result.length
f.seek(0)
with Timer() as t:
result.start()
print "Result took %.03f sec" % t.interval
print result.result
out = ''.join(result.result)
split3 = ""
try:
split1 = [x.strip() for x in out.split(':')]
split2 = split1[3]
split3 = [x.strip() for x in split2.split(',')]
#[1:-1] is to remove double quotes from string
print split3[0][1:-1]
return split3[0][1:-1]
except Exception, e:
print "Exception"
def srprocess(self,threadname):
speech = Pygsr()
speech.record(3)
try:
phrase, complete_response = speech.speech_to_text('ar_AE')
except:
phrase = ''
global do_flage
do_flage = False
self.save_text(phrase+' ')
def __init__(self):
self.speech = Pygsr()
from pygsr import Pygsr
speech = Pygsr()
# duration in seconds (3)
speech.record(3)
# select the language and obtain the result
phrase, complete_response = speech.speech_to_text('es_ES')
print phrase
def listen(self):
speech = Pygsr()
speech.record(2)
phrase, complete_response = speech.speech_to_text('en_IN')
print phrase
def __init__(self):
global logger
logger = logging.getLogger(__name__)
self.speech = Pygsr()
