A podcast production company records hour-long interviews as audio files and wants software that automatically converts each recording into an editable written transcript its staff can search, edit, and use as show notes. Which Azure AI capability accomplishes this?
Select an answer to reveal the explanation.
Short Explanation
This one comes down to which direction the conversion needs to go: the company starts with sound and wants words on a page, not the other way around. That points straight at the capability built to listen to spoken audio and write down what was said, word for word, so staff end up with something they can search and edit. Turning written words into spoken audio would run the process backward and is not useful when you already have the audio and want text. Converting between languages does not apply either, since there is no mention of the interview needing to change from one language to another - it just needs to move from spoken to written form in the same language. And condensing a passage down to its key points assumes you already have a written transcript to shorten, which is exactly the thing missing at the start of this scenario. Given that the starting point is audio and the goal is a full written record, the capability that listens and transcribes is the right fit.
Full Explanation
The correct answer is C. Speech to text is the Azure AI Speech capability that converts spoken audio into written text, which directly matches the production company's need to turn an hour-long recorded interview into an editable transcript that staff can search and revise. Option A is incorrect because text to speech performs the opposite conversion, turning written text into synthesized spoken audio, which would not help a team that already has audio and wants text. Option B is incorrect because language translation converts text or speech from one language into another, and nothing in the scenario indicates the interview needs to change languages, only that spoken words need to become written words in the same language. Option D is incorrect because text summarization condenses an existing written passage into a shorter version highlighting key points, which assumes a transcript already exists and operates on text rather than producing the transcript from audio in the first place. Since the company's stated need is turning raw spoken audio into a full, editable written record rather than synthesizing audio, translating language, or condensing existing text, speech to text is the capability that fits the request.