First blank: speech_recognition_language

Second blank: add_target_language

speech_translation_config = speechsdk.translation.SpeechTranslationConfig(

subscription=os.environ.get( ' SPEECH_KEY ' ),

region=os.environ.get( ' SPEECH_REGION ' )

)

# Source (recognition) language: English (US)

speech_translation_config.speech_recognition_language = " en-US "

# Target translation language: Italian

speech_translation_config.add_target_language( " it " )

audio_config = speechsdk.audio.AudioConfig(use_default_microphone= True )

recognizer = speechsdk.translation.TranslationRecognizer(

translation_config=speech_translation_config,

audio_config=audio_config

)

Comprehensive Detailed Explanation along with All References available from Microsoft Azure AI Solution at the end of the explanation

To translate speech, configure a SpeechTranslationConfig with (1) the recognition language of the input audio and (2) one or more target languages for translation. In Python, you set the input language with the speech_recognition_language property (e.g., " en-US " ), and you add a target with add_target_language( " < locale > " ) (e.g., " it " for Italian). This exactly matches the SDK guidance and examples for speech translation. Microsoft Learn

speech_recognition_language specifies the locale used by the recognizer to understand the spoken input.

add_target_language( " it " ) adds Italian as a translation output language.

Microsoft References

How to translate speech with the Speech SDK (Python examples show translation_config.speech_recognition_language = from_language and translation_config.add_target_language(...) ). Microsoft Learn

SpeechTranslationConfig (Python) reference — add_target_language(language: str) . Microsoft Lea rn

Recognize speech (property usage for speech_recognition_language ). Microsoft Learn

Language support for Speech service (locales and codes for recognition/translation)