Kuis terkait panduan · Sedang Tingkat

AI dalam Teks Real-Time untuk Kuis Tunarungu

Tinjau pengenalan ucapan streaming, CART, revisi, WER, diarisasi, penempatan teks, dan aksesibilitas teks. Periksa batasan dan bukti.

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Teknologi inti apa yang mengubah ucapan langsung menjadi teks di layar?

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  1. Teknologi inti apa yang mengubah ucapan langsung menjadi teks di layar?
    • Pengenalan ucapan otomatis (ASR)
    • Pengenalan karakter optik (OCR)
    • Teks-ke-ucapan (TTS)
    • Penentuan posisi global (GPS)
  2. 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
  3. 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
  4. Metrik apa yang biasa digunakan untuk mengukur keakuratan teks?
    • Bingkai per detik
    • Desibel
    • Piksel per inci
    • Tingkat Kesalahan Kata (WER)
  5. 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
  6. 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
  7. 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
  8. Which caption file format does W3C identify as the most common on the web?
    • CSV
    • PNG
    • MP3
    • WebVTT