SpeechRecognizer | continuous speech recongnizer with services

I'm Darren from the Speech SDK team. Please have a look at the speech_recognition_with_push_stream Python sample on the SpeechSDK GitHub repo: https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/054b4783de9d52f28109c435bf90e073513fec97/samples/python/console/speech_sample.py#L417

I think that's what you are looking for.

Depending on your data availability model, an alternative may be the speech_recognition_with_pull_stream: https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/054b4783de9d52f28109c435bf90e073513fec97/samples/python/console/speech_sample.py#L346

Feel free to open a GitHub issue if you need further assistant: https://github.com/Azure-Samples/cognitive-services-speech-sdk/issues

Thanks,

Darren

According to the logs you provided, the voice of the user is not detected. The meanings of logs and status codes are as follows:

solution

1. It is recommended that you add logs to the callback method of the MLAsrListener listener to view the speech recognition process.

1. You are advised to check mSpeechRecognizer.destroy(). Check whether this method is invoked prematurely and has ended before it starts.

2. Check whether the device is faulty or whether the microphone of the device is invalid. Replace the device and perform the test.

After reviewing your logs, the following errors were found:

The reason for this error is:The Languagecode for speech recognition exceeds 10.

You can view the code here:

Ensure that the speech recognition Languagecode does not exceed 10.

11203 ,subError code: 3002,errorMessage: Service unavailable

The cause of this error is that the app_id information is not found in the project.

You are advised to check whether the agconnect-services.json file exists in the project, as shown in the following

If the file does not exist, you need to add it to the project. If the file exists, ensure that app_id is correct.

For details, see the following Docs.

1. Check whether Automatic Speech Recognition fails to be enabled.

   If Automatic Speech Recognition fails to be enabled, you can obtain the cause by using the onError(int error, String errorMessage) method of the MLAsrListener class, as shown in the following figure.

You can add the above method to the listener's class:

2.If speech recognition is enabled successfully but the speech recognition result is not obtained:

The MLAsrConstants.FEATURE parameter is set to FUNCTION_ALLINONE. Therefore, you need to obtain the speech recognition result in the onResults(Bundle results) method, as shown in the following figure.

For Q1:

Why does the output repeat the results 5 times?

Actually, you can find the answer from STT FAQ by the question:

I get several results for each phrase with the detailed output format. Which one should I use?

It is by design that you can get several results in NBest of JSON response with different Confidence scores, by default, the system will choose the first as display result. You can choose the result as you need, for instance, the result with the highest Confidence score.

For Q2:

Is there a way to change the unit of measurement to something more user-friendly, such as seconds?

In fact, Azure not provides any further ways to use the result. But I write a simple demo based on your code:

You configured correctly but seems you haven't print the result in the console. Just try the code below:

For removing the "RECOGNIZING:", just delete this sentence:

You should use

You are using espresso-intents and looks good but try using putStringArrayListExtra and passing an ArrayList as that is what onActivityResult expects to receive:

I found a sample code on Azure's GitHub issue page that works!.

Not sure which version of the SDK you're using, but official docs use Delegates rather than result.Reason as it's in your code.