Test legat de ghid · Mediu Nivel

Test de aliniere forțată

Review transcript-to-audio timing, pronunciation lexicons, HMM alignment, long-form segmentation, and the limits of forced-alignment output.

Căi de ghidare aferenteAlinierea forțată
Întrebare 1 de 8

Având în vedere audio și transcrierea acestuia, ce ieșire creează alinierea forțată?

Previzualizează fiecare întrebare8 întrebări

Răspunsurile și explicațiile apar pe măsură ce susțineți testul.

  1. Având în vedere audio și transcrierea acestuia, ce ieșire creează alinierea forțată?
    • Marcaje temporale precise de început și de sfârșit pentru cuvinte sau sunete dintr-o transcriere cunoscută
    • O traducere în altă limbă
    • A new transcript created without using supplied words
    • A noise-reduced audio file
  2. Why is alignment called “forced”?
    • The model must increase recording volume
    • The model is constrained to fit the supplied transcript
    • A user must set each boundary by hand
    • The system translates the transcript
  3. What does a pronunciation dictionary provide in a classic aligner?
    • The recording’s sample rate
    • The final timestamps for every word
    • A mapping from written words to expected phone sequences
    • A translation for each language
  4. What search method does the classic Kaldi-based Montreal Forced Aligner use to find a likely sequence through speech?
    • Bubble sort over word strings
    • Randomly selecting timestamps
    • Linear regression on sentence length
    • Viterbi decoding over an HMM-based acoustic model
  5. In WhisperX, what helps handle long-form audio before word-level forced alignment?
    • Voice-activity segmentation into speech chunks
    • Deleting the supplied transcript
    • Changing every word into a phoneme by hand
    • Skipping audio and estimating timestamps from punctuation
  6. Which task can use the word boundaries produced by an aligner?
    • Determining the speaker’s identity with certainty
    • Synchronizing captions or karaoke text to speech
    • Translating speech without a transcript
    • Removing every background sound
  7. Can forced alignment establish that the supplied transcript is factually correct?
    • Yes, it always corrects every transcript error
    • Only when the audio is stereo
    • No; it estimates timing for the provided text and does not verify the words
    • Yes, if a pronunciation dictionary is supplied
  8. What can happen when a word is missing from an aligner’s pronunciation dictionary?
    • The audio automatically becomes translated
    • All following timestamps become legally certified
    • The word is guaranteed to align correctly without a model
    • The tool may need a pronunciation entry or a supported unknown-word strategy