HOTSPOT - For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. Hot Area:
Transcribe a call to text -Speech Service: Speech to Text Service
Extract call Transcription to find key entity - Text Analytic : Entity Recognition
Translate a call to different langauge : Speech Service : Speech Translations
Thus Y/ Y /Y
I just took the exam today 8/19/2022.
The main keywords of on these questions "Speech Service and Text Analytics" are now replaced by "Language Service". So I got confused but still answered all Y/Y/Y.
And I still passed the exam with score of 916/1000.
In ML Conventional terminology the the third should be NO . Speech STT transcribes speech into text , but Translation is then using NLP Translator which is a text-processing ML, then TTS to convert the translated text to speech again. in AZURE ML terminology it's considered YES , since there is already a speech service that makes reak time speech translation , but should pass implicitely to a text Translator in the middle . Speech to speech translator without converting to text in the between is still an area of research .
Speech translation -
A Speech service feature that translates speech in real time
Translate audio from more than 30 languages https://azure.microsoft.com/en-gb/services/cognitive-services/speech-translation/
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