Guide-linked quiz · Medium Level
AI in Real-Time Captioning for the Deaf Quiz
Review streaming speech recognition, CART, revisions, WER, diarization, caption placement, and caption accessibility. Check limits and evidence.
Question 1 of 8
What core technology converts live speech into on-screen text?
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Answers and explanations appear as you take the quiz.
- What core technology converts live speech into on-screen text?
- Automatic speech recognition (ASR)
- Optical character recognition (OCR)
- Text-to-speech (TTS)
- Global positioning (GPS)
- What distinguishes CART captioning from automatic speech-recognition captions?
- It requires no human input
- A trained human captioner uses stenotype, a computer, and realtime software
- It translates every caption into another language automatically
- It is a word-error-rate formula
- Why can words in a streaming caption change before an utterance is finalized?
- The caption file has become an image
- A speaker label always changes the language
- The recognizer can emit intermediate hypotheses that change as more audio is processed
- The final transcript is guaranteed to contain no errors
- What metric is commonly used to measure captioning accuracy?
- Frames per second
- Decibels
- Pixels per inch
- Word Error Rate (WER)
- What does speaker diarization add to a live transcription workflow?
- Labels that distinguish speech from different speakers, without verifying their real-world identities
- Automatic translation into every language
- A guarantee of correct word recognition
- A replacement for microphone audio
- What caption capability did Meta describe for Ray-Ban Display glasses?
- Guaranteeing perfect recognition in noisy rooms
- Displaying captions for speech directed at the wearer
- Replacing caption standards for every video
- Automatically identifying every speaker in a meeting
- What do captions for accessibility often include besides spoken dialogue?
- Only the video title
- A guarantee of perfect transcription
- Relevant non-speech audio information such as sound effects or speaker cues
- The model’s confidence score only
- Which caption file format does W3C identify as the most common on the web?
- CSV
- PNG
- MP3
- WebVTT
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