def test_lm(self):
ps = Pocketsphinx(dic='deps/pocketsphinx/test/data/defective.dic',
mmap=False)
# Decoding with 'defective' dictionary
ps.decode()
self.assertEqual(ps.hypothesis(), '')
# Switch to 'turtle' language model
turtle_lm = 'deps/pocketsphinx/test/data/turtle.lm.bin'
lm = NGramModel(ps.get_config(), ps.get_logmath(), turtle_lm)
ps.set_lm('turtle', lm)
ps.set_search('turtle')
# Decoding with 'turtle' language model
ps.decode()
self.assertEqual(ps.hypothesis(), '')
# The word 'meters' isn't in the loaded dictionary
# Let's add it manually
ps.add_word('foobie', 'F UW B IY', False)
ps.add_word('meters', 'M IY T ER Z', True)
# Decoding with 'turtle' language model
ps.decode()
self.assertEqual(ps.hypothesis(), 'foobie meters meters')
def test_lm(self):
ps = Pocketsphinx(
dic='deps/pocketsphinx/test/data/defective.dic',
mmap=False
)
# Decoding with 'defective' dictionary
ps.decode()
self.assertEqual(ps.hypothesis(), '')
# Switch to 'turtle' language model
turtle_lm = 'deps/pocketsphinx/test/data/turtle.lm.bin'
lm = NGramModel(ps.get_config(), ps.get_logmath(), turtle_lm)
ps.set_lm('turtle', lm)
ps.set_search('turtle')
# Decoding with 'turtle' language model
ps.decode()
self.assertEqual(ps.hypothesis(), '')
# The word 'meters' isn't in the loaded dictionary
# Let's add it manually
ps.add_word('foobie', 'F UW B IY', False)
ps.add_word('meters', 'M IY T ER Z', True)
# Decoding with 'turtle' language model
ps.decode()
self.assertEqual(ps.hypothesis(), 'foobie meters meters')
class SpeechProcessor:
def __init__(self, hmm='data/spanish/CIEMPIESS_Spanish_Models_581h/Models/modelo',
lm='data/spanish/CIEMPIESS_Spanish_Models_581h/Models/leng.lm.bin',
dict='data/spanish/CIEMPIESS_Spanish_Models_581h/Models/dicc.dic',
grammar='data/gramatica-tp2.gram', dataPath='tmp/'):
self.data_path = dataPath
config = {
'hmm': hmm,
'lm': lm,
'dict': dict
}
#model_path = get_model_path()
self.ps = Pocketsphinx(**config)
# Switch to JSGF grammar
jsgf = Jsgf(grammar)
rule = jsgf.get_rule('tp2.grammar')
fsg = jsgf.build_fsg(rule, self.ps.get_logmath(), 7.5)
self.ps.set_fsg('tp2', fsg)
self.ps.set_search('tp2')
# Síntesis
self.tts_authenticator = IAMAuthenticator('cq9_4YcCXxClw2AfgUhbokFktZ-xSRT4kcHS2akcZ05J')
self.tts = TextToSpeechV1(authenticator=self.tts_authenticator)
self.tts.set_service_url('https://stream.watsonplatform.net/text-to-speech/api')
def sintetizar(self, outFileName, msg):
if len(msg) > 0:
with open(outFileName, 'wb') as audio_file:
audio_file.write(
self.tts.synthesize(
msg,
voice='es-LA_SofiaV3Voice',
accept='audio/wav'
).get_result().content)
def reconocer(self, inFileName='audio.wav'):
# Reconocimiento
print(self.data_path)
self.ps.decode(
audio_file=os.path.join(self.data_path,inFileName),
buffer_size=2048,
no_search=False,
full_utt=False
)
return self.ps.segments(), self.ps.best(count=3)
def test_jsgf(self):
ps = Pocketsphinx(lm='deps/pocketsphinx/test/data/turtle.lm.bin',
dic='deps/pocketsphinx/test/data/turtle.dic')
# Decoding with 'turtle' language model
ps.decode()
self.assertEqual(ps.hypothesis(), 'go forward ten meters')
# Switch to JSGF grammar
jsgf = Jsgf('deps/pocketsphinx/test/data/goforward.gram')
rule = jsgf.get_rule('goforward.move2')
fsg = jsgf.build_fsg(rule, ps.get_logmath(), 7.5)
ps.set_fsg('goforward', fsg)
ps.set_search('goforward')
# Decoding with 'goforward' grammar
ps.decode()
self.assertEqual(ps.hypothesis(), 'go forward ten meters')
def test_jsgf(self):
ps = Pocketsphinx(
lm='deps/pocketsphinx/test/data/turtle.lm.bin',
dic='deps/pocketsphinx/test/data/turtle.dic'
)
# Decoding with 'turtle' language model
ps.decode()
self.assertEqual(ps.hypothesis(), 'go forward ten meters')
# Switch to JSGF grammar
jsgf = Jsgf('deps/pocketsphinx/test/data/goforward.gram')
rule = jsgf.get_rule('goforward.move2')
fsg = jsgf.build_fsg(rule, ps.get_logmath(), 7.5)
ps.set_fsg('goforward', fsg)
ps.set_search('goforward')
# Decoding with 'goforward' grammar
ps.decode()
self.assertEqual(ps.hypothesis(), 'go forward ten meters')