Pronunciation-Assesment

[aditya17082010]

Hello Glenn Harper (@glharper),
def pronunciation_assessment_from_microphone():
""""performs one-shot pronunciation assessment asynchronously with input from microphone."""

# Creates an instance of a speech config with specified subscription key and service region.
# Replace with your own subscription key and service region (e.g., "westus").
# Note: The pronunciation assessment feature is currently only available on en-US language.
config = speechsdk.SpeechConfig(subscription="", region="")

# The pronunciation assessment service has a longer default end silence timeout (5 seconds) than normal STT
# as the pronunciation assessment is widely used in education scenario where kids have longer break in reading.
# You can adjust the end silence timeout based on your real scenario.
config.set_property(speechsdk.PropertyId.SpeechServiceConnection_EndSilenceTimeoutMs, "3000")

reference_text = ""
# create pronunciation assessment config, set grading system, granularity and if enable miscue based on your requirement.
pronunciation_config = speechsdk.PronunciationAssessmentConfig(reference_text=reference_text,
                                                               grading_system=speechsdk.PronunciationAssessmentGradingSystem.HundredMark,
                                                               granularity=speechsdk.PronunciationAssessmentGranularity.Phoneme,
                                                               enable_miscue=True)

recognizer = speechsdk.SpeechRecognizer(speech_config=config)
while True:
    # Receives reference text from console input.
    print('Enter reference text you want to assess, or enter empty text to exit.')
    print('> ')

    try:
        st.text_input(reference_text = input())
        if reference_text == "":
            print('Entered empty text to exit')
            sys.exit(0)
    except EOFError:
        break

    pronunciation_config.reference_text = reference_text
    pronunciation_config.apply_to(recognizer)

    # Starts recognizing.
    print('Read out "{}" for pronunciation assessment ...'.format(reference_text))

    # Note: Since recognize_once() returns only a single utterance, it is suitable only for single
    # shot evaluation.
    # For long-running multi-utterance pronunciation evaluation, use start_continuous_recognition() instead.
    result = recognizer.recognize_once_async().get()

    # Check the result
    if result.reason == speechsdk.ResultReason.RecognizedSpeech:
        print('Recognized: {}'.format(result.text))
        print('  Pronunciation Assessment Result:')

        pronunciation_result = speechsdk.PronunciationAssessmentResult(result)
        st.write(print('    Accuracy score: {}, Pronunciation score: {}, Completeness score : {}, FluencyScore: {}'.format(
            pronunciation_result.accuracy_score, pronunciation_result.pronunciation_score,
            pronunciation_result.completeness_score, pronunciation_result.fluency_score
        )))
        print('  Word-level details:')
        for idx, word in enumerate(pronunciation_result.words):
            print('    {}: word: {}, accuracy score: {}, error type: {};'.format(
                idx + 1, word.word, word.accuracy_score, word.error_type
            ))
    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))

pronunciation_assessment_from_microphone()

While running this code.

The output is print in terminal.

How to print the terminal output in streamlit webapp?

[pankopon]

By default you can use st.write() in Streamlit apps to display any data you would print to terminal with print(). Like result.text, word.word or others in this case. Please see Streamlit examples and documentation, this is not Speech SDK specific. For multi-threaded operation and passing data via queues, see #1200 (comment) for some simple examples.