A publishing company wants to convert its catalog of e-books into audio versions automatically, producing natural-sounding narration directly from the written text of each book without hiring voice actors. Which AI capability accomplishes this?
Select an answer to reveal the explanation.
Short Explanation
Think about the direction the content needs to travel: the company starts with written words sitting in a book file and wants to end up with a voice reading them aloud, with no human narrator involved. That's a specific, one-way conversion, text going in, spoken audio coming out, and there's a purpose-built capability for exactly that direction. It's easy to get turned around here, because there's also a capability that runs the opposite way, turning spoken audio into a written transcript, which is useful when you already have a recording and want text, not when you already have text and want a recording. There's also a capability focused on crossing between languages, which assumes you're starting from audio in the first place, and one focused on figuring out who is talking based on voice characteristics, which has nothing to do with generating new narration at all. Keep your eye on which direction the conversion runs and you'll land on the right one.
Full Explanation
The correct answer is C. Text-to-speech synthesis is the capability that takes written text as input and generates natural-sounding spoken audio as output, which is precisely the direction of conversion the publishing company needs to turn its written e-book catalog into narrated audio versions. Option A is incorrect because speech-to-text transcription runs in the opposite direction, converting spoken audio into written text, which would be relevant if the company already had audio and wanted a transcript, not the other way around. Option B is incorrect because speech translation converts spoken audio from one language into spoken or written output in another language; it assumes an audio source already exists and focuses on crossing languages, neither of which matches converting existing written text into narrated audio in the same language. Option D is incorrect because speaker recognition identifies or verifies who is speaking based on voice characteristics, which is useful for authentication or diarization scenarios but has no role in generating new narration from written text. Since the company's need is written text in, natural spoken audio out, text-to-speech synthesis is the matching capability.