def startStream(self):
def read(responses, passage):
missed = []
passage_index = 0
self.passage_label = str(".\n".join(passage[passage_index:]) + ".")
for response in responses:
if not response.results:
continue
result = response.results[0]
if not result.alternatives:
continue
if result.is_final:
print(result.alternatives[0].transcript)
print(
passageCheck(passage[passage_index],
result.alternatives[0].transcript))
comp_result = passageCheck(
passage[passage_index],
result.alternatives[0].transcript)
missed += comp_result[0]
if not comp_result[1]:
passage_index += 1
self.ids.repeat_button.disabled = True
else:
passage[passage_index] = " ".join(comp_result[1])
generatePronun(comp_result[1][0])
self.ids.repeat_button.disabled = False
missed += [comp_result[1][0]]
self.help_label = str(
"Tip: " + " ".join(getWord(
comp_result[1][0]))) # call dictionary lookup
self.input_label = result.alternatives[0].transcript
if passage_index < len(passage):
self.passage_label = str(
".\n".join(passage[passage_index:]) + ".")
if passage_index == len(passage):
self.passage_label = str("")
print("woo")
return missed
language_code = 'en-US' # a BCP-47 language tag
client = speech.SpeechClient()
config = types.RecognitionConfig(
encoding=enums.RecognitionConfig.AudioEncoding.LINEAR16,
sample_rate_hertz=RATE,
language_code=language_code)
streaming_config = types.StreamingRecognitionConfig(
config=config, interim_results=True)
with MicrophoneStream(RATE, CHUNK) as stream:
audio_generator = stream.generator()
requests = (types.StreamingRecognizeRequest(audio_content=content)
for content in audio_generator)
responses = client.streaming_recognize(streaming_config, requests)
# Now, put the transcription responses to use.
finals = read(responses, passages.english)
App.get_running_app().missed_keys = finals
print("yippee")
return finals
def initializeStream(passage: str):
# See http://g.co/cloud/speech/docs/languages
# for a list of supported languages.
language_code = 'en-US' # a BCP-47 language tag
client = speech.SpeechClient()
config = types.RecognitionConfig(
encoding=enums.RecognitionConfig.AudioEncoding.LINEAR16,
sample_rate_hertz=RATE,
language_code=language_code)
streaming_config = types.StreamingRecognitionConfig(config=config,
interim_results=True)
with MicrophoneStream(RATE, CHUNK) as stream:
audio_generator = stream.generator()
requests = (types.StreamingRecognizeRequest(audio_content=content)
for content in audio_generator)
responses = client.streaming_recognize(streaming_config, requests)
# Now, put the transcription responses to use.
finals = read(responses, passage)
return (finals)
def startStream(self):
def read(responses, passage, lang):
missed = []
passage_index = 0
transcript_index = 0
self.passage_label = str(".\n".join(passage[passage_index:]) + ".")
for response in responses:
# print(response.results[0])
if not response.results:
continue
result = response.results[0]
if not result.alternatives:
continue
if result.stability >= 0.80:
print(result.alternatives[0].transcript[transcript_index:])
transcript = result.alternatives[0].transcript
print(transcript_index)
print(
passageCheck(passage[passage_index],
transcript[transcript_index:]))
comp_result = passageCheck(passage[passage_index],
transcript[transcript_index:])
if not comp_result[1]:
passage_index += 1
else:
passage[passage_index] = "".join(comp_result[1])
fgeneratePronun(comp_result[1][0], lang)
self.help_label = str(
"Tip: " +
" ".join(fgetWord(comp_result[1][0], lang))
) # call dictionary lookup # call dictionary lookup
self.input_label = result.alternatives[0].transcript[
transcript_index:]
transcript_index = len(transcript)
if passage_index < len(passage):
self.passage_label = str(
".\n".join(passage[passage_index:]) + ".")
if passage_index == len(passage):
self.passage_label = str("")
return missed
language_code = 'ja-JP' # a BCP-47 language tag 'zh' 'ja-JP'
passage = passages.japanese
passageIndex = 0
client = speech.SpeechClient()
config = types.RecognitionConfig(
encoding=enums.RecognitionConfig.AudioEncoding.LINEAR16,
sample_rate_hertz=RATE,
language_code=language_code)
streaming_config = types.StreamingRecognitionConfig(
config=config, interim_results=True)
with MicrophoneStream(RATE, CHUNK) as stream:
audio_generator = stream.generator()
requests = (types.StreamingRecognizeRequest(audio_content=content)
for content in audio_generator)
responses = client.streaming_recognize(streaming_config, requests)
# Now, put the transcription responses to use.
finals = read(responses, passage, 'ja')
return finals