def speech_recognize_with_auto_language_detection_UsingCustomizedModel():
"""performs speech recognition from the audio file with auto language detection, using customized model"""
speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=service_region)
audio_config = speechsdk.audio.AudioConfig(filename=weatherfilename)
# Replace the languages with your languages in BCP-47 format, e.g. fr-FR.
# Please see https://docs.microsoft.com/azure/cognitive-services/speech-service/language-support
# for all supported languages
en_language_config = speechsdk.languageconfig.SourceLanguageConfig("en-US")
# Replace the languages with your languages in BCP-47 format, e.g. zh-CN.
# Set the endpoint ID of your customized mode that will be used for fr-FR.
# Replace with your own CRIS endpoint ID.
fr_language_config = speechsdk.languageconfig.SourceLanguageConfig("fr-FR", "myendpointId")
# create the auto detection language configuration with the source language configurations
auto_detect_source_language_config = speechsdk.languageconfig.AutoDetectSourceLanguageConfig(
sourceLanguageConfigs=[en_language_config, fr_language_config])
speech_recognizer = speechsdk.SpeechRecognizer(
speech_config=speech_config,
auto_detect_source_language_config=auto_detect_source_language_config,
audio_config=audio_config)
result = speech_recognizer.recognize_once()
# Check the result
if result.reason == speechsdk.ResultReason.RecognizedSpeech:
auto_detect_source_language_result = speechsdk.AutoDetectSourceLanguageResult(result)
print("Recognized: {} in language {}".format(result.text, auto_detect_source_language_result.language))
elif result.reason == speechsdk.ResultReason.NoMatch:
print("No speech could be recognized")
elif result.reason == speechsdk.ResultReason.Canceled:
cancellation_details = result.cancellation_details
print("Speech Recognition canceled: {}".format(cancellation_details.reason))
if cancellation_details.reason == speechsdk.CancellationReason.Error:
print("Error details: {}".format(cancellation_details.error_details))
def speech_recognize_once_with_auto_language_detection_from_mic():
"""performs one-shot speech recognition from the default microphone with auto language detection"""
speech_config = speechsdk.SpeechConfig(subscription=speech_key,
region=service_region)
# create the auto detection language configuration with the potential source language candidates
auto_detect_source_language_config = \
speechsdk.languageconfig.AutoDetectSourceLanguageConfig(languages=["de-DE", "en-US"])
speech_recognizer = speechsdk.SpeechRecognizer(
speech_config=speech_config,
auto_detect_source_language_config=auto_detect_source_language_config)
result = speech_recognizer.recognize_once()
# Check the result
if result.reason == speechsdk.ResultReason.RecognizedSpeech:
auto_detect_source_language_result = speechsdk.AutoDetectSourceLanguageResult(
result)
print("Recognized: {} in language {}".format(
result.text, auto_detect_source_language_result.language))
elif result.reason == speechsdk.ResultReason.NoMatch:
print("No speech could be recognized")
elif result.reason == speechsdk.ResultReason.Canceled:
cancellation_details = result.cancellation_details
print("Speech Recognition canceled: {}".format(
cancellation_details.reason))
if cancellation_details.reason == speechsdk.CancellationReason.Error:
print("Error details: {}".format(
cancellation_details.error_details))
def recognized_handler(e: speechsdk.SpeechRecognitionEventArgs):
if speechsdk.ResultReason.RecognizedSpeech == e.result.reason and len(
e.result.text) > 0:
language = None
if user_config['languages'] is not None:
language_id_result = speechsdk.AutoDetectSourceLanguageResult(
e.result)
language = language_id_result.language
nonlocal sequence_number
sequence_number += 1
start_time = ticks_to_time(e.result.offset)
end_time = ticks_to_time(e.result.offset + e.result.duration)
caption = caption = caption_time_to_caption(
srt=user_config['srt_enabled'],
sequence_number=sequence_number,
start_time=start_time,
end_time=end_time,
text=e.result.text,
language=language)
write_to_console_or_file(text=caption, user_config=user_config)
elif speechsdk.ResultReason.NoMatch == e.result.reason:
write_to_console(
text='NOMATCH: Speech could not be recognized.{}'.format(
linesep),
user_config=user_config)
def language_from_speech_recognition_result(
result: speechsdk.SpeechRecognitionResult,
user_config: helper.Read_Only_Dict) -> str:
if user_config["language_ID_languages"] is not None:
return "[{}] ".format(
speechsdk.AutoDetectSourceLanguageResult(result).language)
else:
return ""