def input_usr_utt_nblist(self):
"""Reads an N-best list of utterances from the input. """
self.init_readline()
nblist = UtteranceNBList()
i = 1
while i < 100:
l = raw_input("User %d: " % i)
try:
l = l.decode('utf8')
except: # if we use ipdb, it already gives us UTF-8-encoded input :-(
pass
if l.startswith("."):
print
break
try:
prob, da = self.parse_input_utt(l)
except TextHubException as e:
print e
continue
nblist.add(prob, da)
i += 1
nblist.merge()
nblist.scale()
nblist.add_other()
self.write_readline()
return nblist
def input_usr_utt_nblist(self):
"""Reads an N-best list of utterances from the input. """
self.init_readline()
nblist = UtteranceNBList()
i = 1
while i < 100:
l = raw_input("User %d: " % i)
try:
l = l.decode('utf8')
except: # if we use ipdb, it already gives us UTF-8-encoded input :-(
pass
if l.startswith("."):
print
break
try:
prob, da = self.parse_input_utt(l)
except TextHubException as e:
print e
continue
nblist.add(prob, da)
i += 1
nblist.merge()
nblist.scale()
nblist.add_other()
self.write_readline()
return nblist
def input_usr_utt_nblist(self):
"""Reads an N-best list of utterances from the input. """
self.init_readline()
nblist = UtteranceNBList()
i = 1
while i < 100:
l = raw_input("User %d: " % i)
l = l.decode('utf8')
if self.f_output_script:
self.f_output_script.write(l + '\n')
if l.startswith("."):
print
break
try:
prob, da = self.parse_input_utt(l)
except TextHubException as e:
print e
continue
nblist.add(prob, da)
i += 1
nblist.merge()
nblist.scale()
nblist.add_other()
self.write_readline()
return nblist
def input_usr_utt_nblist(self):
"""Reads an N-best list of utterances from the input. """
self.init_readline()
nblist = UtteranceNBList()
i = 1
while i < 100:
l = raw_input("User %d: " % i)
l = l.decode('utf8')
if self.f_output_script:
self.f_output_script.write(l + '\n')
if l.startswith("."):
print
break
try:
prob, da = self.parse_input_utt(l)
except TextHubException as e:
print e
continue
nblist.add(prob, da)
i += 1
nblist.merge()
nblist.scale()
nblist.add_other()
self.write_readline()
return nblist
def recognize(self, wav):
""" Produces hypotheses for the input audio data.
Remember that GoogleASR works only with complete wave files.
Returns an n-best list of hypotheses.
"""
# making a file temp for manipulation
handle, flac_file_name = mkstemp('TmpSpeechFile.flac')
try:
# convert wav to flac
audio.save_flac(self.cfg, flac_file_name, wav)
json_hypotheses = self.get_asr_hypotheses(flac_file_name)
except (urllib2.HTTPError, urllib2.URLError) as e:
self.syslog.exception('GoogleASR HTTP/URL error: %s' % unicode(e))
json_hypotheses = [
[{'confidence': 1.0, 'utterance': '__google__ __asr__ __exception__'}, ], ]
finally:
os.close(handle)
remove(flac_file_name)
try:
hyp = json.loads(json_hypotheses)
# print "###", hyp
nblist = UtteranceNBList()
if hyp['status'] == 0:
n = len(hyp['hypotheses'])
for i, h in enumerate(hyp['hypotheses']):
if i == 0:
nblist.add(h['confidence'], Utterance(h['utterance']))
conf1 = hyp['hypotheses'][0]['confidence']
else:
# guess the confX score
nblist.add((1.0-conf1)*(n-i)/(n-1.0)/(n-0.0)*2.0, Utterance(h['utterance']))
elif hyp['status'] == 5:
nblist.add(1.0, Utterance('_other_'))
except:
nblist = UtteranceNBList()
nblist.merge()
nblist.add_other()
return nblist
def test_conversion_of_confnet_into_nblist(self):
A1, A2, A3 = 0.90, 0.05, 0.05
B1, B2, B3 = 0.50, 0.35, 0.15
C1, C2, C3 = 0.60, 0.30, 0.10
correct_nblist = UtteranceNBList()
correct_nblist.add(A1*B1*C1, Utterance("A1 B1 C1"))
correct_nblist.add(A1*B2*C1, Utterance("A1 B2 C1"))
correct_nblist.add(A1*B1*C2, Utterance("A1 B1 C2"))
correct_nblist.add(A1*B2*C2, Utterance("A1 B2 C2"))
correct_nblist.add(A1*B3*C1, Utterance("A1 B3 C1"))
correct_nblist.add(A1*B1*C3, Utterance("A1 B1 C3"))
correct_nblist.add(A1*B3*C2, Utterance("A1 B3 C2"))
correct_nblist.add(A1*B2*C3, Utterance("A1 B2 C3"))
correct_nblist.merge()
correct_nblist.add_other()
confnet = UtteranceConfusionNetwork()
confnet.add([[A1, 'A1'], [A2, 'A2'], [A3, 'A3'],])
confnet.add([[B1, 'B1'], [B2, 'B2'], [B3, 'B3'],])
confnet.add([[C1, 'C1'], [C2, 'C2'], [C3, 'C3'],])
confnet.merge().sort()
gen_nblist = confnet.get_utterance_nblist(10)
s = []
s.append("")
s.append("Confusion network:")
s.append(unicode(confnet))
s.append("")
s.append("Generated nblist:")
s.append(unicode(gen_nblist))
s.append("")
s.append("Correct nblist:")
s.append(unicode(correct_nblist))
s.append("")
print '\n'.join(s)
self.assertEqual(unicode(gen_nblist), unicode(correct_nblist))
def get_results(self, timeout=0.6):
""""
Waits for the complete recognition results from the Julius ASR server.
Timeout specifies how long it will wait for the end of message.
"""
msg = ""
# Get results from the server.
time_slept = 0.0
while time_slept < timeout:
msg_part = self.read_server_message(self.msg_timeout)
if not msg_part:
# Wait and check whether there is a message.
time.sleep(self.cfg['Hub']['main_loop_sleep_time'])
time_slept += self.cfg['Hub']['main_loop_sleep_time']
if self.debug >= 2:
print "gr.time_slept:", time_slept
continue
msg += msg_part + '\n'
if self.debug:
print msg
if '<CONFNET>' in msg:
break
else:
raise JuliusASRTimeoutException(
"Timeout when waiting for the Julius server results.")
# Process the results.
""" Typical result returned by the Julius ASR.
<STARTPROC/>
<INPUT STATUS="LISTEN" TIME="1343896296"/>
<INPUT STATUS="STARTREC" TIME="1343896311"/>
<STARTRECOG/>
<INPUT STATUS="ENDREC" TIME="1343896312"/>
<ENDRECOG/>
<INPUTPARAM FRAMES="164" MSEC="1640"/>
<RECOGOUT>
<SHYPO RANK="1" SCORE="-7250.111328">
<WHYPO WORD="" CLASSID="<s>" PHONE="sil" CM="0.887"/>
<WHYPO WORD="I'M" CLASSID="I'M" PHONE="ah m" CM="0.705"/>
<WHYPO WORD="LOOKING" CLASSID="LOOKING" PHONE="l uh k ih ng" CM="0.992"/>
<WHYPO WORD="FOR" CLASSID="FOR" PHONE="f er" CM="0.757"/>
<WHYPO WORD="A" CLASSID="A" PHONE="ah" CM="0.672"/>
<WHYPO WORD="PUB" CLASSID="PUB" PHONE="p ah b" CM="0.409"/>
<WHYPO WORD="" CLASSID="</s>" PHONE="sil" CM="1.000"/>
</SHYPO>
</RECOGOUT>
<GRAPHOUT NODENUM="43" ARCNUM="70">
<NODE GID="0" WORD="" CLASSID="<s>" PHONE="sil" BEGIN="0" END="2"/>
<NODE GID="1" WORD="" CLASSID="<s>" PHONE="sil" BEGIN="0" END="3"/>
<NODE GID="2" WORD="" CLASSID="<s>" PHONE="sil" BEGIN="0" END="4"/>
<NODE GID="3" WORD="I" CLASSID="I" PHONE="ay" BEGIN="3" END="5"/>
<NODE GID="4" WORD="NO" CLASSID="NO" PHONE="n ow" BEGIN="3" END="7"/>
<NODE GID="5" WORD="I" CLASSID="I" PHONE="ay" BEGIN="4" END="6"/>
<NODE GID="6" WORD="UH" CLASSID="UH" PHONE="ah" BEGIN="4" END="6"/>
<NODE GID="7" WORD="I'M" CLASSID="I'M" PHONE="ay m" BEGIN="4" END="27"/>
...
<NODE GID="38" WORD="PUB" CLASSID="PUB" PHONE="p ah b" BEGIN="79" END="104"/>
<NODE GID="39" WORD="AH" CLASSID="AH" PHONE="aa" BEGIN="81" END="110"/>
<NODE GID="40" WORD="LOT" CLASSID="LOT" PHONE="l aa t" BEGIN="81" END="110"/>
<NODE GID="41" WORD="" CLASSID="</s>" PHONE="sil" BEGIN="105" END="163"/>
<NODE GID="42" WORD="" CLASSID="</s>" PHONE="sil" BEGIN="111" END="163"/>
<ARC FROM="0" TO="4"/>
<ARC FROM="0" TO="3"/>
<ARC FROM="1" TO="7"/>
<ARC FROM="1" TO="5"/>
<ARC FROM="1" TO="6"/>
...
<ARC FROM="38" TO="41"/>
<ARC FROM="39" TO="42"/>
<ARC FROM="40" TO="42"/>
</GRAPHOUT>
<CONFNET>
<WORD>
<ALTERNATIVE PROB="1.000"></ALTERNATIVE>
</WORD>
<WORD>
<ALTERNATIVE PROB="0.950">I</ALTERNATIVE>
<ALTERNATIVE PROB="0.020">HI</ALTERNATIVE>
<ALTERNATIVE PROB="0.013">NO</ALTERNATIVE>
<ALTERNATIVE PROB="0.010"></ALTERNATIVE>
<ALTERNATIVE PROB="0.006">UH</ALTERNATIVE>
</WORD>
<WORD>
<ALTERNATIVE PROB="0.945">AM</ALTERNATIVE>
<ALTERNATIVE PROB="0.055">I'M</ALTERNATIVE>
</WORD>
<WORD>
<ALTERNATIVE PROB="1.000">LOOKING</ALTERNATIVE>
</WORD>
<WORD>
<ALTERNATIVE PROB="1.000">FOR</ALTERNATIVE>
</WORD>
<WORD>
<ALTERNATIVE PROB="1.000">A</ALTERNATIVE>
</WORD>
<WORD>
<ALTERNATIVE PROB="0.963">PUB</ALTERNATIVE>
<ALTERNATIVE PROB="0.016">AH</ALTERNATIVE>
<ALTERNATIVE PROB="0.012">BAR</ALTERNATIVE>
<ALTERNATIVE PROB="0.008">LOT</ALTERNATIVE>
</WORD>
<WORD>
<ALTERNATIVE PROB="1.000"></ALTERNATIVE>
</WORD>
</CONFNET>
<INPUT STATUS="LISTEN" TIME="1343896312"/>
"""
msg = "<RESULTS>" + msg + "</RESULTS>"
msg = msg.replace("<s>", "<s>").replace("</s>", "</s>")
nblist = UtteranceNBList()
doc = xml.dom.minidom.parseString(msg)
recogout = doc.getElementsByTagName("RECOGOUT")
for el in recogout:
shypo = el.getElementsByTagName("SHYPO")
for el in shypo:
whypo = el.getElementsByTagName("WHYPO")
utterance = ""
cm = 1.0
for el in whypo:
word = el.getAttribute("WORD")
utterance += " " + word
if word:
cm *= float(el.getAttribute("CM"))
nblist.add(cm, Utterance(utterance))
nblist.merge()
nblist.add_other()
cn = UtteranceConfusionNetwork()
confnet = doc.getElementsByTagName("CONFNET")
for el in confnet:
word = el.getElementsByTagName("WORD")
for el in word:
alternative = el.getElementsByTagName("ALTERNATIVE")
word_list = []
for el in alternative:
prob = float(el.getAttribute("PROB"))
text = get_text_from_xml_node(el)
word_list.append([prob, text])
# Filter out empty hypotheses.
if len(word_list) == 0:
continue
if len(word_list) == 1 and len(word_list[0][1]) == 0:
continue
# Add the word into the confusion network.
cn.add(word_list)
cn.merge()
cn.normalise()
cn.prune()
cn.normalise()
cn.sort()
return nblist, cn
def get_results(self, timeout=0.6):
""""
Waits for the complete recognition results from the Julius ASR server.
Timeout specifies how long it will wait for the end of message.
"""
msg = ""
# Get results from the server.
time_slept = 0.0
while time_slept < timeout:
msg_part = self.read_server_message(self.msg_timeout)
if not msg_part:
# Wait and check whether there is a message.
time.sleep(self.cfg['Hub']['main_loop_sleep_time'])
time_slept += self.cfg['Hub']['main_loop_sleep_time']
if self.debug >= 2:
print "gr.time_slept:", time_slept
continue
msg += msg_part + '\n'
if self.debug:
print msg
if '<CONFNET>' in msg:
break
else:
raise JuliusASRTimeoutException(
"Timeout when waiting for the Julius server results.")
# Process the results.
""" Typical result returned by the Julius ASR.
<STARTPROC/>
<INPUT STATUS="LISTEN" TIME="1343896296"/>
<INPUT STATUS="STARTREC" TIME="1343896311"/>
<STARTRECOG/>
<INPUT STATUS="ENDREC" TIME="1343896312"/>
<ENDRECOG/>
<INPUTPARAM FRAMES="164" MSEC="1640"/>
<RECOGOUT>
<SHYPO RANK="1" SCORE="-7250.111328">
<WHYPO WORD="" CLASSID="<s>" PHONE="sil" CM="0.887"/>
<WHYPO WORD="I'M" CLASSID="I'M" PHONE="ah m" CM="0.705"/>
<WHYPO WORD="LOOKING" CLASSID="LOOKING" PHONE="l uh k ih ng" CM="0.992"/>
<WHYPO WORD="FOR" CLASSID="FOR" PHONE="f er" CM="0.757"/>
<WHYPO WORD="A" CLASSID="A" PHONE="ah" CM="0.672"/>
<WHYPO WORD="PUB" CLASSID="PUB" PHONE="p ah b" CM="0.409"/>
<WHYPO WORD="" CLASSID="</s>" PHONE="sil" CM="1.000"/>
</SHYPO>
</RECOGOUT>
<GRAPHOUT NODENUM="43" ARCNUM="70">
<NODE GID="0" WORD="" CLASSID="<s>" PHONE="sil" BEGIN="0" END="2"/>
<NODE GID="1" WORD="" CLASSID="<s>" PHONE="sil" BEGIN="0" END="3"/>
<NODE GID="2" WORD="" CLASSID="<s>" PHONE="sil" BEGIN="0" END="4"/>
<NODE GID="3" WORD="I" CLASSID="I" PHONE="ay" BEGIN="3" END="5"/>
<NODE GID="4" WORD="NO" CLASSID="NO" PHONE="n ow" BEGIN="3" END="7"/>
<NODE GID="5" WORD="I" CLASSID="I" PHONE="ay" BEGIN="4" END="6"/>
<NODE GID="6" WORD="UH" CLASSID="UH" PHONE="ah" BEGIN="4" END="6"/>
<NODE GID="7" WORD="I'M" CLASSID="I'M" PHONE="ay m" BEGIN="4" END="27"/>
...
<NODE GID="38" WORD="PUB" CLASSID="PUB" PHONE="p ah b" BEGIN="79" END="104"/>
<NODE GID="39" WORD="AH" CLASSID="AH" PHONE="aa" BEGIN="81" END="110"/>
<NODE GID="40" WORD="LOT" CLASSID="LOT" PHONE="l aa t" BEGIN="81" END="110"/>
<NODE GID="41" WORD="" CLASSID="</s>" PHONE="sil" BEGIN="105" END="163"/>
<NODE GID="42" WORD="" CLASSID="</s>" PHONE="sil" BEGIN="111" END="163"/>
<ARC FROM="0" TO="4"/>
<ARC FROM="0" TO="3"/>
<ARC FROM="1" TO="7"/>
<ARC FROM="1" TO="5"/>
<ARC FROM="1" TO="6"/>
...
<ARC FROM="38" TO="41"/>
<ARC FROM="39" TO="42"/>
<ARC FROM="40" TO="42"/>
</GRAPHOUT>
<CONFNET>
<WORD>
<ALTERNATIVE PROB="1.000"></ALTERNATIVE>
</WORD>
<WORD>
<ALTERNATIVE PROB="0.950">I</ALTERNATIVE>
<ALTERNATIVE PROB="0.020">HI</ALTERNATIVE>
<ALTERNATIVE PROB="0.013">NO</ALTERNATIVE>
<ALTERNATIVE PROB="0.010"></ALTERNATIVE>
<ALTERNATIVE PROB="0.006">UH</ALTERNATIVE>
</WORD>
<WORD>
<ALTERNATIVE PROB="0.945">AM</ALTERNATIVE>
<ALTERNATIVE PROB="0.055">I'M</ALTERNATIVE>
</WORD>
<WORD>
<ALTERNATIVE PROB="1.000">LOOKING</ALTERNATIVE>
</WORD>
<WORD>
<ALTERNATIVE PROB="1.000">FOR</ALTERNATIVE>
</WORD>
<WORD>
<ALTERNATIVE PROB="1.000">A</ALTERNATIVE>
</WORD>
<WORD>
<ALTERNATIVE PROB="0.963">PUB</ALTERNATIVE>
<ALTERNATIVE PROB="0.016">AH</ALTERNATIVE>
<ALTERNATIVE PROB="0.012">BAR</ALTERNATIVE>
<ALTERNATIVE PROB="0.008">LOT</ALTERNATIVE>
</WORD>
<WORD>
<ALTERNATIVE PROB="1.000"></ALTERNATIVE>
</WORD>
</CONFNET>
<INPUT STATUS="LISTEN" TIME="1343896312"/>
"""
msg = "<RESULTS>" + msg + "</RESULTS>"
msg = msg.replace("<s>", "<s>").replace("</s>", "</s>")
nblist = UtteranceNBList()
doc = xml.dom.minidom.parseString(msg)
recogout = doc.getElementsByTagName("RECOGOUT")
for el in recogout:
shypo = el.getElementsByTagName("SHYPO")
for el in shypo:
whypo = el.getElementsByTagName("WHYPO")
utterance = ""
cm = 1.0
for el in whypo:
word = el.getAttribute("WORD")
utterance += " " + word
if word:
cm *= float(el.getAttribute("CM"))
nblist.add(cm, Utterance(utterance))
nblist.merge()
nblist.add_other()
cn = UtteranceConfusionNetwork()
confnet = doc.getElementsByTagName("CONFNET")
for el in confnet:
word = el.getElementsByTagName("WORD")
for el in word:
alternative = el.getElementsByTagName("ALTERNATIVE")
word_list = []
for el in alternative:
prob = float(el.getAttribute("PROB"))
text = get_text_from_xml_node(el)
word_list.append([prob, text])
# Filter out empty hypotheses.
if len(word_list) == 0:
continue
if len(word_list) == 1 and len(word_list[0][1]) == 0:
continue
# Add the word into the confusion network.
cn.add(word_list)
cn.merge()
cn.normalise()
cn.prune()
cn.normalise()
cn.sort()
return nblist, cn
