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Copy file name to clipboardExpand all lines: articles/cognitive-services/Speech-Service/includes/how-to/speech-to-text-basics/speech-to-text-basics-python.md
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@@ -101,7 +101,7 @@ Here's an example of synchronous single-shot recognition using [`recognize_once(
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result = speech_recognizer.recognize_once()
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```
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Here's an example of synchronous single-shot recognition using [`recognize_once_async()`](https://docs.microsoft.com/python/api/azure-cognitiveservices-speech/azure.cognitiveservices.speech.recognizer?view=azure-python#recognize-once-async------azure-cognitiveservices-speech-resultfuture):
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Here's an example of asynchronous single-shot recognition using [`recognize_once_async()`](https://docs.microsoft.com/python/api/azure-cognitiveservices-speech/azure.cognitiveservices.speech.recognizer?view=azure-python#recognize-once-async------azure-cognitiveservices-speech-resultfuture):
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```Python
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result = speech_recognizer.recognize_once_async()
@@ -230,4 +230,4 @@ phrase_list_grammar.clear()
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Phrase lists are only one option to improve recognition accuracy. You can also:
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*[Improve accuracy with Custom Speech](../../../how-to-custom-speech.md)
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*[Improve accuracy with tenant models](../../../tutorial-tenant-model.md)
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*[Improve accuracy with tenant models](../../../tutorial-tenant-model.md)
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