A publisher converting its catalog of novels into audiobooks wants software that takes the plain-text manuscript of a book and produces natural-sounding narrated audio in a chosen voice, without hiring a human narrator for every title. Which AI capability fits this need?
Select an answer to reveal the explanation.
Short Explanation
Walk through what actually happens here: the publisher starts with a written manuscript and wants to end up with spoken narration, in a voice they pick, without paying a narrator to read every page aloud. That's converting text into audio, which is exactly the reverse of turning a recording into a transcript, so the option that transcribes spoken words into text is solving the opposite problem. Verifying whose voice is in a recording assumes you already have audio to check, which isn't the situation at all. And converting the story into a different language addresses translation, not narration, and the publisher never mentioned needing another language. The capability that starts from text and ends with a natural spoken voice is the one that matches what the publisher is building.
Full Explanation
The correct answer is D. Text to speech, also called speech synthesis, converts written text into natural-sounding spoken audio in a selected voice, which is precisely what the publisher needs to turn a plain-text manuscript into narrated audio without hiring a human narrator. Option A is incorrect because speech to text goes in the opposite direction, converting spoken audio into written text, which would be relevant if the publisher already had a recorded narration and wanted a transcript, not the other way around. Option B is incorrect because speaker recognition identifies or verifies which specific person is speaking in an audio sample, which has no bearing on generating new narration from text and assumes audio already exists to analyze. Option C is incorrect because speech translation converts spoken or written content from one language into another, which addresses a language barrier rather than the task of producing audio narration from a manuscript that is already in the publisher's target language. Because the manuscript starts as text and the desired output is spoken narration in a chosen voice, text to speech is the only capability that performs that specific conversion.