Google Cloud Professional Cloud Architect · Free practice question 2 of 12
Chirp speech model for call transcription
Dunwell Utilities records 40,000 customer service calls a month and wants accurate text transcripts in several languages for quality review and search. The deciding constraint is a managed Google model rather than training its own. Which service should the architect recommend?
- A.Text-to-Speech with a Chirp HD voice
- B.Speech-to-Text with a Chirp model, using batch recognition
- C.Cloud Translation API applied directly to the audio files
- D.A custom acoustic model trained from scratch on Compute Engine GPUs with the call recordings
Show answer and explanation
Correct answer: B. Speech-to-Text with a Chirp model, using batch recognition
Why: Speech-to-Text converts audio to text, and its Chirp models are Google's large multilingual speech models; batch recognition suits recorded calls. Translation works on text, not audio. Text-to-Speech generates audio from text rather than transcribing it, and training an acoustic model from scratch contradicts the constraint.
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