Guide-linked quiz · Medium Level

Forced Alignment Quiz

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

Related guide pathsForced Alignment
Question 1 of 8

Given audio and its transcript, what output does forced alignment create?

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  1. Given audio and its transcript, what output does forced alignment create?
    • Precise start and end timestamps for words or sounds in a known transcript
    • A translation into another language
    • 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

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