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learn-pr/wwl-data-ai/translate-text-speech/includes/4-speech-translation.md

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@@ -86,7 +86,7 @@ Manual synthesis is a straightforward way to synthesize the results of speech tr
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1. Use a **TranslationRecognizer** to translate spoken input into text transcriptions in one or more target languages.
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1. Iterate through the **Translations** in the result of the translation operation, using a **SpeechSynthesizer** to synthesize an audio stream for each language.
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For example, we could expanded the previous example to use Azure Speech to synthesize each translation that is returned, like this:
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For example, we could expand the previous example to use Azure Speech to synthesize each translation that is returned, like this:
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```python
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import azure.cognitiveservices.speech as speech_sdk

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